Main Conference

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation
Juhwan Choi, JungMin Yun, Kyohoon Jin, YoungBin Kim

FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document
Joonho Yang, Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee

Prompts have evil twins
Rimon Melamed, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà

Table Question Answering for Low-resourced Indic Languages
Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke

ImageInWords: Unlocking Hyper-Detailed Image Descriptions
Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Michael Baldridge, Radu Soricut

LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang

When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps

Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model
Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garcia Perera, EngSiong Chng, Lina Yao

Hateful Word in Context Classification
Sanne Hoeken, Sina Zarrieß, Özge Alacam

Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze
Özge Alacam, Sanne Hoeken, Sina Zarrieß

NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning
Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle

Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka

A Usage-centric Take on Intent Understanding in E-Commerce
Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha

Systematic Biases in LLM Simulations of Debates
Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein

Studying and Mitigating Biases in Sign Language Understanding Models
Katherine Atwell, Danielle Bragg, Malihe Alikhani

Uncertainty in Language Models: Assessment through Rank-Calibration
Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty

Scaling Properties of Speech Language Models
Santiago Cuervo, Ricard Marxer

“We Demand Justice!”: Towards Social Context Grounding of Political Texts
Rajkumar Pujari, Chengfei Wu, Dan Goldwasser

An Experimental Analysis on Evaluating Patent Citations
Rabindra Nath Nandi, Suman Maity, Brian Uzzi, Sourav Medya

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis

Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning
Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, zujie wen, Wenqiang Lei, Tat-Seng Chua

Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation
Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, shimin tao, Xiaofeng Zhao, Mahongxia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu

On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
Abhilasha Sancheti, Haozhe An, Rachel Rudinger

EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models
Maureen de Seyssel, Antony D’Avirro, Adina Williams, Emmanuel Dupoux

On Fake News Detection with LLM Enhanced Semantics Mining
Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan

On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher, Ivan Srba, Maria Bielikova

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan

A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers
Valentin Barriere, Sebastian Cifuentes

Mitigating the Alignment Tax of RLHF
Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang

Evaluating Readability and Faithfulness of Concept-based Explanations
Meng Li, Haoran Jin, Ruixuan HUANG, Zhihao Xu, Defu Lian, Zijia Lin, Di ZHANG, Xiting Wang

Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems
Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou

CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds
Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang

Tokenization Is More Than Compression
Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner

FLIRT: Feedback Loop In-context Red Teaming
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
Lingjun Zhao, Khanh Xuan Nguyen, Hal Daumé III

Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
Haoyuan WU, Haisheng Zheng, Zhuolun He, Bei Yu

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation
Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng

Improved Learned Sparse Retrieval with Entity Vocabulary
Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu

LongEmbed: Extending Embedding Models for Long Context Retrieval
Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
Xiangyang Liu, Junliang He, Xipeng Qiu

Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue
Xianlong Luo, Yihao Wang, Meng Yang

Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification
Dongjun LIM, Yun-Gyung Cheong

In-context Contrastive Learning for Event Causality Identification
梁超, Wei Xiang, Bang Wang

What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs
Anna Wegmann, Tijs A. van den Broek, Dong Nguyen

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
Kanishka Misra, Kyle Mahowald

Large Language Models for Data Annotation: A Survey
Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, huan liu

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
Hongyuan Lu, HAORAN YANG, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei

AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, chen luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao

HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs
Jocelyn J Shen, Joel Mire, Hae Won Park, Cynthia Breazeal, Maarten Sap

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence
Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, di yin, Xing Sun

Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval
Tianyi Hu, Maria Maistro, Daniel Hershcovich

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao

A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading
Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He

A Survey on In-context Learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui

DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing
Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing

EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee

LLMs Are Zero-Shot Context-Aware Simultaneous Translators
Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura

AgentReview: Exploring Peer Review Dynamics with LLM Agents
Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić, Anna Korhonen

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
Chenlong Deng, Kelong Mao, Zhicheng Dou

Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process
Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander T Toshev

QUDSELECT: Selective Decoding for Questions Under Discussion Parsing
Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng

Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration
Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng

Model Balancing Helps Low-data Training and Fine-tuning
Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang

Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment
Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu

A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning
Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou

Towards Tool Use Alignment of Large Language Models
Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin

DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models
Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network
Haoran Li, Qiang Gao, Hongmei Wu, Li Huang

Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors
Wenjian Ding, YAO ZHANG, Jun Wang, Adam Jatowt, Zhenglu Yang

UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
Xiangyu Zhao, Yuehan Zhang, zhangwenlong, Xiao-Ming Wu

Tracking the perspectives of interacting language models
Hayden Helm, Brandon Duderstadt, Youngser Park, Carey Priebe

MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering
Zhengxuan Zhang, Yin WU, Yuyu Luo, Nan Tang

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui

Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng LI, Wei Peng, Sujian Li

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation
Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi

Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective
Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou

“Glue pizza and eat rocks” - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, huan liu

Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement
Yuxuan Wang, Xiaoyuan Liu

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao

MatchTime: Towards Automatic Soccer Game Commentary Generation
Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie

Rethinking Token Reduction for State Space Models
Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang

Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering
Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang

MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
Yuyan Zhou, Liang Song, Bingning Wang, weipeng chen

Event Causality Identification with Synthetic Control
Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson

Retrieved Sequence Augmentation for Protein Representation Learning
Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Young Lu, Qi Liu, Sheng Wang, Lingpeng Kong

HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić

DA$^3$: A Distribution-Aware Adversarial Attack against Language Models
Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu

Evaluating Psychological Safety of Large Language Models
Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing

An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification
Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian, Junyang Zhong

Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering
Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu

PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation
Libo Zhao, Jing Li, Ziqian Zeng

TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging
Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
Caiqi Zhang, Zhijiang Guo, Andreas Vlachos

Enhancing Advanced Visual Reasoning Ability of Large Language Models
Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai

CMD: a framework for Context-aware Model self-Detoxification
Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection
Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao

TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He, Rongjie Huang, Chuxin Wang, Zhou Zhao

Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support
LI Junlin, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang

Aligning Language Models to Explicitly Handle Ambiguity
Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim

Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li

GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models
Xuanchang Zhang, Zhuosheng Zhang, hai zhao

Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information
Runze Xia, Congchi Yin, Piji Li

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang

Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
Yongjin Yang, Jongwoo Ko, Se-Young Yun

Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu

An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference
Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye, Huiqi Liu, Bing Duan

MantisScore: A Reliable Fine-grained Metric for Video Generation
Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen

A ∧ B ⇔ B ∧ A: Evaluating and Improving Logical Reasoning Ability of Large Language Models
Yuxuan WAN, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael Lyu

Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training
Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin

FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang

I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation
Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen

Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm
Michael Wiegand, Josef Ruppenhofer

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee

Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie

Towards Low-Resource Harmful Meme Detection with LMM Agents
Jianzhao Huang, Hongzhan Lin, ZiyanLiu, Ziyang Luo, Guang Chen, Jing Ma

VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values
Zhe Hu, Yixiao Ren, Jing Li, Yu Yin

Direct Multi-Turn Preference Optimization for Language Agents
Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
Leonardo Ranaldi, Andre Freitas

In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
Wenhao Huang, Zhouhong Gu, Chenghao Peng, Jiaqing Liang, Zhixu Li, Yanghua Xiao, liqian wen, Zulong Chen

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding
Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!
Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu

Reusing Transferable Weight Increments for Low-resource Style Generation
Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar Zaiane

Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?
Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler

Instruction Pre-Training: Language Models are Supervised Multitask Learners
Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei

LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
Renzhi Wang, Piji Li

Collaborative Performance Prediction for Large Language Models
Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma

Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese
Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari

Knowledge Verification to Nip Hallucination in the Bud
Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich

African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Gregor Geigle, Radu Timofte, Goran Glavaš

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao

To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models
Bastien Liétard, Pascal Denis, Mikaela Keller

ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings
Hao Wang, Hao Li, Minlie Huang, Lei Sha

An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making
Xiutian Zhao, Ke Wang, Wei Peng

Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
Gregor Geigle, Radu Timofte, Goran Glavaš

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment
zhenyu liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min zhang

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning
Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, ZihanWang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang

Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification
Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li, Jie Zhang, Kai Zhang

PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study
Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu

Alignment-Enhanced Decoding: Defending via Token-Level Adaptive Refining of Probability Distributions
Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su

MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction
Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu

Evaluating Large Language Models via Linguistic Profiling
Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi

With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models
Tyler Loakman, YUCHENG LI, Chenghua Lin

KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li

Understanding Higher-Order Correlations Among Semantic Components in Embeddings
Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Wei Liu, Xian Wu, Shaorong Xie, Yefeng Zheng

Evaluating D-MERIT of Partial-annotation on Information Retrieval
Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alexander Libov, Yoav Goldberg

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
XIN QUAN, Marco Valentino, Louise A. Dennis, Andre Freitas

Calibrating the Confidence of Large Language Models by Eliciting Fidelity
Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu

Exploring Reward Model Strength’s Impact on Language Models
Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen

How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics
Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea

Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection
Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson

CUTE: Measuring LLMs’ Understanding of Their Tokens
Lukas Edman, Helmut Schmid, Alexander Fraser

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min zhang

On The Role of Context in Reading Time Prediction
Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox

BC-Prover: Backward Chaining Prover for Formal Theorem Proving
Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva

Dual Modalities of Text: Visual and Textual Generative Pre-Training
Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu

On Training Data Influence of GPT Models
Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu

Understanding “Democratization” in NLP and ML Research
Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto

Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages
Seonjeong Hwang, Yunsu Kim, Gary Lee

ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws
Ruihang Li, Yixuan Wei, Miaosen Zhang, Nenghai Yu, Han Hu, Houwen Peng

Word Alignment as Preference for Machine Translation
Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka

Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence
Yaxin FAN, PEIFENG LI, Qiaoming Zhu

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang

Neuron-Level Knowledge Attribution in Large Language Models
ZEPING YU, Sophia Ananiadou

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
ZEPING YU, Sophia Ananiadou

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
ZEPING YU, Sophia Ananiadou

Pixology: Probing the Linguistic and Visual Knowledge of Pixel-based Language Models
Kushal Tatariya, Vladimir Araujo, Thomas Bauwens, Miryam de Lhoneux

GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song

Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature
ALI ALLAITH, Daniel Hershcovich, Jens Bjerring-Hansen, Jakob Ingemann Parby, Alexander Conroy, Timothy R Tangherlini

QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models
Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh

Fine-Grained Prediction of Reading Comprehension from Eye Movements
Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak

Efficient Retriever for Multi-Hop Retrieval Question Answerin
Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

Unsupervised Human Preference Learning
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani Tur

Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering
Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata, Marco Guerini

Leading Whitespaces of Language Models’ Subword Vocabulary Poses a Confound for Calculating Word Probabilities
Byung-Doh Oh, William Schuler

LLM4Decompile: Decompiling Binary Code with Large Language Models
Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang

From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
Jihao Gu, Zelin Wang, Yibo Zhang, Ziji Zhang, Ping Gong

CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
Yike Wu, Yi Huang, Nan Hu, YUNCHENG HUA, Guilin Qi, Jiaoyan Chen, Jeff Z. Pan

MTLS: Making Texts into Linguistic Symbols
Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li

D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection
Yifan Chen, Kuntao Li, Weixing Mai, Qiaofeng Wu, Yun Xue, Fenghuan Li

A Generic Method for Fine-grained Category Discovery in Natural Language Texts
Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens

Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method
Yang Trista Cao, Lovely-Frances Domingo, Sarah Gilbert, Michelle L. Mazurek, Katherine Shilton, Hal Daumé III

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison
Qian Yang, Weixiang Yan, Aishwarya Agrawal

Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism
Lang Cao

VGBench: A Comprehensive Benchmark of Vector Graphics Understanding and Generation for Large Language Models
Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee

What do large language models need for machine translation evaluation?
Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Fred Blain

Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
Flavio Di Palo, Prateek Singhi, Bilal H Fadlallah

External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models
Debela Gemechu, Chris Reed

C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits
Maaz Bin Musa, Rishab Nithyanand, Padmini Srinivasan, Mihailis E. Diamantis, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin

MPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
Taowen Wang, Yiyang Liu, James Chenhao Liang, junhan zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification
Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang

Incubating Text Classifiers Following User Instruction with Nothing but LLM
Letian Peng, Zilong Wang, Jingbo Shang

PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL
Ruilin Luo, Liyuan Wang, Binghuai Lin, Zicheng Lin, Yujiu Yang

Conditional and Modal Reasoning in Large Language Models
Wesley H. Holliday, Matthew Mandelkern, Cedegao E. Zhang

Advancing Large Language Model Attribution through Self-Improving
Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

AlignCap: Aligning Speech Emotion Captioning to Human Preferences
Ziqi Liang, Haoxiang Shi, Hanhui Chen

Interpretability-based Tailored Knowledge Editing in Transformers
Yihuai Hong, Aldo Lipani

PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan

Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap

Dissecting Fine-Tuning Unlearning in Large Language Models
Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang

Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, zhiheng huang

Where is the signal in tokenization space?
Renato Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck

Private Language Models via Truncated Laplacian Mechanism
Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang

Estimating Knowledge in Large Language Models Without Generating a Single Token
Daniela Gottesman, Mor Geva

Consistent Autoformalization for Constructing Mathematical Libraries
Lan Zhang, XIN QUAN, Andre Freitas

Contextual and Parametric Knowledge: More Context, More Focus
Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal

Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers
Aditya Yedetore, Najoung Kim

When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages
Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen

Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use
Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai

MiTTenS: A Dataset for Evaluating Gender Mistranslation
Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings

Teaching LLMs to Abstain across Languages via Multilingual Feedback
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L Gordon, Zaid Harchaoui, Yejin Choi

I Could’ve Asked That: Reformulating Unanswerable Questions
Wenting Zhao, Ge Gao, Claire Cardie, Alexander M Rush

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami

Hidden Persuaders: How LLM Political Bias Could Sway Our Elections
Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song

SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu

An Analysis of Multilingual FActScore
Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo

RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval
Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon

Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects
Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault

Order of Magnitude Speedups for LLM Membership Inference
Rongting Zhang, Martin Andres Bertran, Aaron Roth

VIMI: Grounding Video Generation through Multi-modal Instruction
Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov

F$^2$RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation
Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou

Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning
Chang Yang, Peng Zhang, Hui Gao, Jing Zhang

Visual Prompting in LLMs for Enhancing Emotion Recognition
Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Yang Liu, Zhenyue Qin, Wenjia Niu, Sabrina Caldwell, Tom Gedeon

IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang

Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset
Che Wei Tsai, Yen-Hao Huang, Tsu-keng Liao, Didier Fernando Salazar Estrada, Retnani Latifah, Yi-Shin Chen

Outcome-Constrained Large Language Models for Countering Hate Speech
Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song

Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing
Changbing Yang, Garrett Nicolai, Miikka Silfverberg

Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks
Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu

Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping
Yangyang Zhao, Ben Niu, Mehdi Dastani, Shihan Wang

PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling
Huachuan Qiu, Lizhi Ma, Zhenzhong Lan

World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
Jiacong Wang, Bohong Wu, Haiyong Jiang, Haoyuan Guo, Xin Xiao, zhou Xun, Jun Xiao

DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering
Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo

How Do Humans Write Code? Large Models Do It the Same Way Too
Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He

Retrospex: Language Agent Meets Offline Reinforcement Learning Critic
Yufei Xiang, Yiqun Shen, Yeqin Zhang, Nguyen Cam-Tu

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen

CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth

Bayesian Calibration of Win Rate Estimation with LLM Evaluators
Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan

MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning
Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai

Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Weijun Li, Qiongkai Xu, Mark Dras

RWKV-CLIP: A Robust Vision-Language Representation Learner
Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng

KidLM: Advancing Language Models for Children – Early Insights and Future Directions
Mir Tafseer Nayeem, Davood Rafiei

Using Language Models to Disambiguate Lexical Choices in Translation
Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr

How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?
Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin

An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob Drachmann Havtorn, Tuukka Ruotsalo

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
Zheng Wang, Zhongyang Li, Jiang Zeren, Dandan Tu, Wei Shi

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation
Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji

Predicting Nonnative Sentence Processing with L2LMs
Tatsuya Aoyama, Nathan Schneider

From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis
Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin

Cross-Domain Audio Deepfake Detection: Dataset and Analysis
Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma, Daimeng Wei, Hao Yang

MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
Ting Liu, Zunnan Xu, Zhiqiang Wang, Yue Hu, Liangtao Shi, Quanjun Yin

Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning
Miyoung Ko, Sue Hyun Park, Joonsuk Park, Minjoon Seo

Aligning Translation-Specific Understanding to General Understanding in Large Language Models
Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin

FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation
Mohamad Ballout, Anne Dedert, Nohayr Muhammad Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger

Concept-skill Transferability-based Data Selection for Large Vision-Language Models
Jaewoo Lee, Boyang Li, Sung Ju Hwang

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi LIU, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

Academics Can Contribute to Domain-Specialized Language Models
Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S Rosenberg, Sebastian Gehrmann

Beyond Reference: Evaluating High Quality Translations Better than Human References
Keonwoong Noh, Seokjin Oh, Woohwan Jung

Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement
Pengwei Zhan, Zhen Xu, Qian Tan, Jie Song, Ru Xie

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James Validad Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Jann Railey Montalan, Ryan Ignatius Hadiwijaya, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze GAO, Patrick Amadeus Irawan, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Tai Ngee Chia, Ayu Purwarianti, Sebastian Ruder, William Chandra Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng Xin Yong, Samuel Cahyawijaya

Induct-Learn: Short Phrase Prompting with Instruction Induction
Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen

Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning
Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li

LUQ: Long-text Uncertainty Quantification for LLMs
Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng

Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars
Damien Sileo

Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux

Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang, Wangjie Qiu, Hong-Wei Zheng, Zhi-Ming Zheng

Formality Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
Jiahuan Li, Yiqing Cao, Shujian Huang, Jiajun Chen

How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?
Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You

How Far Can We Extract Diverse Perspectives from Large Language Models?
Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand

An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Lexin Zhou, Youmna Farag, Andreas Vlachos

Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Xianwei Zhuang, Yuexian Zou

Dialog2Flow: Pre-training Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
Sergio Burdisso, Srikanth Madikeri, Petr Motlicek

Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
Raphael Tang, Crystina Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture

Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024
Ilias Chalkidis

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning
Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian

LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations
Shengda Fan, Yanting Wang, Shasha Mo, Jianwei Niu

Concept Space Alignment in Multilingual LLMs
Qiwei Peng, Anders Søgaard

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model
Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian
Peng Liu, Lemei Zhang, Terje Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang

RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework
Yifan Wang, Vera Demberg

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang

Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam .

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
Minzheng Wang, Longze Chen, ChengFu, Liaoshengyi, Xinghua Zhang, Bingliwu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

On Mitigating Performance Disparities in Multilingual Speech Recognition
Monorama Swain, Anna Katrine van Zee, Anders Søgaard

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
Stephen Meisenbacher, Florian Matthes

From Coarse to Fine: Impacts of Feature-Preserving and Feature-Compressing Connectors on Perception in Multimodal Models
Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen

What is ‘‘Typological Diversity’’ in NLP?
Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva

The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse
Xiaobo Guo, Neil Potnis, Melody Yu, Nabeel Gillani, Soroush Vosoughi

Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness
Georgi Shopov, Stefan Gerdjikov

Benchmarking Vision Language Models for Cultural Understanding
Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal

Methods of Automatic Matrix Language Determination for Code-Switched Speech
Olga Iakovenko, Thomas Hain

Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts
Jaewook Lee, Yeajin Jang, Hongjin KIM, Woojin Lee, Harksoo Kim

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar

Teaching Small Language Models Reasoning through Counterfactual Distillation
FengTao, Yicheng Li, Li Chenglin, Hao Chen, Fei Yu, Yin Zhang

Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese
Meet Doshi, Raj Dabre, Pushpak Bhattacharyya

Quantifying the Gap Between Machine Translation and Native Language in Training for Multimodal, Multilingual Retrieval
Kyle Buettner, Adriana Kovashka

MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval
Qixi Lu, Gongbo Tang

Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates
Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger

CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling
Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie CK Cheung

Story Embeddings — Narrative-Focused Representations of Fictional Stories
Hans Ole Hatzel, Chris Biemann

C-LLM: Learn to Check Chinese Spelling Errors Character by Character
Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou

PSC: Extending Context Window of Large Language Models via Phase Shift Calibration
Wenqiao Zhu, Chao Xu, Lulu Wang, Jun Wu

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao

Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing
Richard Diehl Martinez, Zebulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn

ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Boosting Scientific Concepts Understanding: Can Analogies from Teacher Models Empower Student Models?
Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza

Do Large Language Models Know How Much They Know?
Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

Investigating Mysteries of CoT-Augmented Distillation
Somin Wadhwa, Silvio Amir, Byron C Wallace

SciPrompt: Knowledge-Augmented Prompting for Fine-Grained Categorization of Scientific Topics
Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludaescher, Jana Diesner

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi

Learning from Natural Language Explanations for Generalizable Entity Matching
Somin Wadhwa, ADIT KRISHNAN, Runhui Wang, Byron C Wallace, Luyang Kong

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcioglu, Bradley A. Malin

On the Reliability of Psychological Scales on Large Language Models
Jen-tse Huang, Wenxuan Wang, Man Ho LAM, Eric John Li, Wenxiang Jiao, Michael Lyu

Contrastive Entity Coreference and Disambiguation for Historical Texts
Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring

Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models
Jeonghwan Kim, Heng Ji

Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu

Focused Large Language Models are Stable Many-Shot Learners
Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

Reconsidering Sentence-Level Sign Language Translation
Garrett Tanzer, Maximus Shengelia, Ken Harrenstien, David Uthus

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha

Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction
Liviu P Dinu, Ana Sabina Uban, Alina Maria Cristea, Ioan-Bogdan Iordache, Teodor-George Marchitan, Simona Georgescu, Laurentiu Zoicas

ChatGPT Doesn’t Trust LA Chargers Fans: Guardrail Sensitivity in Context
Victoria R Li, Yida Chen, Naomi Saphra

Personas as a Way to Model Truthfulness in Language Models
Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He

Satyrn: A Platform for Analytics Augmented Generation
Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J Hammond

EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning
Ashish Seth, Ramaneswaran S, S Sakshi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha

EPO: Hierarchical LLM Agents with Environment Preference Optimization
Qi Zhao, Haotian Fu, Chen Sun, George Konidaris

Detection and Measurement of Syntactic Templates in Generated Text
Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C Wallace

UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models
Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu

Optimized Speculative Sampling for GPU Hardware Accelerators
Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet

Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
Zhaoxuan Tan, Zheyuan Liu, Meng Jiang

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang

Unifying Multimodal Retrieval via Document Screenshot Embedding
Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin

Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation
Shaomu Tan, Di Wu, Christof Monz

An Audit on the Perspectives and Challenges of Hallucinations in NLP
Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut

Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models
Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang

Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner

Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution
Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner

Understanding and Mitigating Language Confusion in LLMs
Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, Théo Dehaze, Sebastian Ruder

Can Large Language Models Learn Independent Causal Mechanisms?
Gael Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie

MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models
Sarfaroz Yunusov, Hamza Sidat, Ali Emami

InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao

Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia
Farhan Samir, Chan Young Park, Vered Shwartz, Anjalie Field, Yulia Tsvetkov

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, EunJeong Hwang, Vered Shwartz

Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
Karin De Langis, Ryan Koo, Dongyeop Kang

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu

Learning to Extract Structured Entities Using Language Models
Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra

Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark Gales

A Survey of AMR Applications
Shira Wein, Juri Opitz

Beyond Embeddings: The Promise of Visual Table in Visual Reasoning
Yiwu Zhong, Zi-Yuan Hu, Michael Lyu, Liwei Wang

CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation
Shahla Farzana, Ivana Lucero, Vivian Villegas, Vera C Kaelin, Mary Khetani, Natalie Parde

Secured Weight Release for Large Language Models via Taylor Expansion
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu

TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song

Knowledge-Centric Hallucination Detection
Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang

Revealing the Parallel Multilingual Learning within Large Language Models
Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu

Automatic Instruction Evolving for Large Language Models
Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen

RepEval: Effective Text Evaluation with LLM Representation
Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou

Generative Models for Automatic Medical Decision Rule Extraction from Text
Yuxin He, Buzhou Tang, Xiaoling Wang

Encoding and Controlling Global Semantics for Long-form Video Question Answering
Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun

Does Large Language Model Contain Task-Specific Neurons?
Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu

Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models
Philipp Mondorf, Barbara Plank

Advancing Test-Time Adaptation in Wild Acoustic Test Settings
Hongfu Liu, Hengguan Huang, Ye Wang

Learning to Retrieve Iteratively for In-Context Learning
Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme

Taxonomy-guided Semantic Indexing for Academic Paper Search
SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts
Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models
Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh

Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
Zhiyu Cao, PEIFENG LI, Yaxin FAN, Qiaoming Zhu

FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs
Yiyuan Li, Shichao Sun, Pengfei Liu

Aligning Large Language Models with Diverse Political Viewpoints
Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash

“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III

Extending Context Window of Large Language Models from a Distributional Perspective
Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions
Hakyung Sung, Kristopher Kyle

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng

Position Engineering: Boosting Large Language Models through Positional Information Manipulation
Zhiyuan He, Huiqiang Jiang, Zilong Wang, Yuqing Yang, Luna K. Qiu, Lili Qiu

Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Junying Chen, Chi Gui, OuyangRuyi, Anningzhe Gao, Shunian Chen, Guiming Hardy Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang

ADELIE: Aligning Large Language Models on Information Extraction
Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Dajun Zeng

Lexically Grounded Subword Segmentation
Jindřich Libovický, Jindřich Helcl

EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang

Do Text-to-Vis Benchmarks Test Real Use of Visualizations?
Hy Nguyen, Xuefei He, Andrew Reeson, Cecile Paris, Josiah Poon, Jonathan K. Kummerfeld

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
Jingyu Hu, Weiru Liu, Mengnan Du

Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges
Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
Vyas Raina, Adian Liusie, Mark Gales

Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
Zhicong Lu, Li Jin, PeiguangLi, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu

Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models
Vyas Raina, Rao Ma, Charles McGhee, Kate Knill, Mark Gales

GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation
Georgios Katsimpras, Georgios Paliouras

XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra

Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning
Yuanpin Zhou, Huogen Wang

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng

UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
Zhanyue Qin, Haochuan Wang, Deyuan Liu, Ziyang Song, Cunhang Fan, Zhao Lv, Jinlin Wu, Zhen Lei, Zhiying Tu, Dianhui Chu, Xiaoyan Yu, Dianbo Sui

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments
Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su

MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space
Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia, Zhangjijun, Ruifang He, Yuexian Hou

KnowledgeSG: Privacy-Preserving Synthetic Text Generation With Knowledge Distillation From Server
WenHao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang

DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale
Wenzhen Zheng, Wenbo Pan, Xu Xu, Libo Qin, Li Yue, Ming Zhou

An Empirical Study of Multilingual Reasoning Distillation for Question Answering
Patomporn Payoungkhamdee, Peerat Limkonchotiwat, Jinheon Baek, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
Gal Yona, Roee Aharoni, Mor Geva

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding
Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao JING, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song

ECON: On the Detection and Resolution of Evidence Conflicts
Cheng Jiayang, Qianqian Zhuang, Chunkit Chan, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang

“Image, Tell me your story!” Predicting the original meta-context of visual misinformation
Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych

Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning
Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan

Mixture-of-Subspaces in Low-Rank Adaptation
Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong

A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram

LawBench: Benchmarking Legal Knowledge of Large Language Models
Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards
Furkan Şahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych

Efficient Vision-Language pre-training via domain-specific learning for human activities
Adrian Bulat, Yassine Ouali, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos

Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training
Wenbo Li, Guohao Li, Zhibin Lan, Xue Xu, Wanru Zhuang, Jiachen Liu, Xinyan Xiao, Jinsong Su

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works
Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang

Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
Shimao Zhang, Changjiang Gao, Wenhao Zhu, Jiajun Chen, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning
Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin

CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li

mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen

Data Advisor: Data Curation with Foresight for Safety Alignment of Large Language Models
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan

Language-to-Code Translation with a Single Labeled Example
Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas

Attribute or Abstain: Large Language Models as Long Document Assistants
Jan Buchmann, Xiao Liu, Iryna Gurevych

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma

Retrieved In-Context Principles from Previous Mistakes
Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang

EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control
Haozhe Chen, Run Chen, Julia Hirschberg

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

Deterministic Weighted L* Algorithm
Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Ryan Cotterell

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin

Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
Pritish Sahu, Karan Sikka, Ajay Divakaran

Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
Yusuke Hirota, Jerone Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang

RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
Di Cao, Yong Liao, Xiuwei Shang

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel
Brendan King, Jeffrey Flanigan

Humans or LLMs as the Judge? A Study on Judgement Bias
Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang

WPO: Enhancing RLHF with Weighted Preference Optimization
Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu

Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, SU YAO, Ke Xu, Wei Xu, Han Qiu

MetaReflection: Learning Instructions for Language Agents using Past Reflections
Priyanshu Gupta, Shashank Kirtania, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Sherry Shi

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

On Eliciting Syntax from Language Models via Hashing
Yiran Wang, Masao Utiyama

CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He

The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
Heng Yang

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal

Perceptions of Linguistic Uncertainty by Language Models and Humans
Catarina G Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth

Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM
Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung

Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding
Xiaoyu DONG, Yujie Feng, ZEXIN LU, Guangyuan SHI, Xiao-Ming Wu

Knowledge Conflicts for LLMs: A Survey
Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu

Generative AI in the Era of “Alternative Facts”
Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar

MEANT: Multimodal Encoder for Antecedent Information
Benjamin Irving, Annika Marie Schoene

A Thorough Examination of Decoding Methods in the Era of LLMs
Chufan Shi, HAORAN YANG, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam

AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings
Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar

FIRST: Faster Improved Listwise Reranking with Single Token Decoding
Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji

Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights
Hongjin KIM, Jai-Eun Kim, Harksoo Kim

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra

“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
Karina H Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut

Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective
Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang

LIONs: An Empirically Optimized Approach to Align Language Models
Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu

Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing
Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Liyan Tang, Philippe Laban, Greg Durrett

Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
John Wu, David Wu, Jimeng Sun

MOSEL: Inference Serving Using Dynamic Modality Selection
Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J Yadwadkar, Aditya Akella

From RAG to Riches: Retrieval Interlaced with Sequence Generation
Palak Jain, Livio Baldini Soares, Tom Kwiatkowski

Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition
Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee

Learning to Correct for QA Reasoning with Black-box LLMs
Jaehyung Kim, Dongyoung Kim, Yiming Yang

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant

PostMark: A Robust Blackbox Watermark for Large Language Models
Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Frederick Wieting, Mohit Iyyer

Assessing “Implicit” Retrieval Robustness of Large Language Models
Xiaoyu Shen, Rexhina Blloshmi, Dawei Zhu, Jiahuan Pei, Wei Zhang

On the Relationship between Truth and Political Bias in Language Models
Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara

Can Active Label Correction Improve LLM-based Modular AI Systems?
Karan Taneja, Ashok Goel

Statistical Uncertainty in Word Embeddings: GloVe-V
Andrea Vallebueno, Cassandra Handan-Nader, Christopher D Manning, Daniel E. Ho

Annotation alignment: Comparing LLM and human annotations of conversational safety
Rajiv Movva, Pang Wei Koh, Emma Pierson

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
Nigel Fernandez, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang

CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran

Enhancing Reinforcement Learning with Intrinsic Rewards from Language Model Critique
Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng

Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
Layla Bouzoubaa, Elham Aghakhani, Shadi Rezapour

Efficient Sequential Decision Making with Large Language Models
Dingyang Chen, Qi Zhang, Yinglun Zhu

SignCLIP: Connecting Text and Sign Language by Contrastive Learning
Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling

APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang

Ontologically Faithful Generation of Non-Player Character Dialogues
Nathaniel Weir, Ryan Thomas, Randolph d’Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha, Alena Fenogenova, Ekaterina Artemova, Vladislav Mikhailov

Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song

Toward Compositional Behavior in Neural Models: A Survey of Current Views
Kate McCurdy, Paul Soulos, Paul Smolensky

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab

Reverse-Engineering the Reader
Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang

Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text
Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun

Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
David Schulte, Felix Hamborg, Alan Akbik

The effects of distance on NPI illusive effects in BERT
So Young Lee, Mai Ha Vu

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic
Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme

Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US
Christabel Acquaye, Haozhe An, Rachel Rudinger

Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang

Ranking Manipulation for Conversational Search Engines
Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi

Fast Forwarding Low-Rank Training
Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov

Precise Model Benchmarking with Only a Few Observations
Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort

Attribute Diversity Determines the Systematicity Gap in VQA
Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra

“Rows, Columns and Values, Oh My!” Synthesizing Scientific Literature into Tables using Language Models
Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S Weld, Joseph Chee Chang, Kyle Lo

Development of Cognitive Intelligence in Pre-trained Language Models
Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui

Birdie: Advancing State Space Models with a Minimalist Architecture and Novel Pre-training Objectives
Sam Blouir, Jimmy T.H. Smith, Antonios Anastasopoulos, Amarda Shehu

Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs
Sheridan Feucht, David Atkinson, Byron C Wallace, David Bau

TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig

Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding
Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine Cassell

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
Reza Esfandiarpoor, Cristina Menghini, Stephen Bach

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
Bowen Zhang, Harold Soh

MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding
Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun

Can Transformer Language Models Learn $n$-gram Language Models?
Anej Svete, Nadav Borenstein, Mike Zhou, Ryan Cotterell

StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model
Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Philippe Laban, Alexander Fabbri, Caiming Xiong, Chien-Sheng Wu

Multi-pass Decoding for Grammatical Error Correction
Xiaoying Wang, Lingling Mu, Jingyi Zhang, Hongfei Xu

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
Yucheng Jiang, Yijia Shao, Dekun Ma, Sina Semnani, Monica Lam

SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation
Chenming Tang, Zhixiang Wang, Yunfang Wu

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
Yuxuan Wang, Yueqian Wang, Pengfei Wu, Jianxin Liang, Dongyan Zhao, Yang Liu, Zilong Zheng

STORYSUMM: Evaluating Faithfulness in Story Summarization
Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Thomas Adams, Lydia Chilton, Kathleen McKeown

MMOE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
Haofei Yu, Zhengyang Qi, Lawrence Keunho Jang, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang

OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee

Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
Lin Ai, Zheng Hui, Zizhou Liu, Julia Hirschberg

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
Jun Rao, Xuebo Liu, Lian Lian, shengjun cheng, Yunjie Liao, Min Zhang

ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
Yuzhe Gu, Enmao Diao

Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models
Jaeseong Lee, seung-won hwang, Wonpyo Park, Mingi Ji

Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood
Yang Xu, Yu Wang, Hao An, Yongyuan Li, Zhichen Liu

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning
Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, JUN ZHOU

Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
XiaoHua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin

ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs
Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen

On the In-context Generation of Language Models
Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu

Atomic Inference for NLI with Generated Facts as Atoms
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei

Towards Robust Speech Representation Learning for Thousands of Languages
William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe

I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
Xuan Ren, Biao Wu, Lingqiao Liu

PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
Jiahuan Li, Shujian Huang, Aarron Ching, Xinyu Dai, Jiajun Chen

An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig

When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models
Ting-Yun Chang, Jesse Thomason, Robin Jia

Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo zhang, Yanghui Rao

Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions
Jinsung Yoon, Rajarishi Sinha, Sercan O Arik, Tomas Pfister

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction
Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao

Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
Zhen Lin, Shubhendu Trivedi, Jimeng Sun

$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl

CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction
Tuan Dung Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen

“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan

Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He

Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
Xin Liu, Farima Fatahi Bayat, Lu Wang

Reasoning Robustness of LLMs to Adversarial Typographical Errors
Esther Gan, Yiran Zhao, Liying Cheng, Mao Yancan, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu

Belief Revision: The Adaptability of Large Language Models Reasoning
Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints
Minjia Wang, Fangzhou Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

LLMs Are Prone to Fallacies in Causal Inference
Nitish Joshi, Abulhair Saparov, Yixin Wang, He He

Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
Ryan Louie, Ananjan Nandi, William Fang, Cheng Chang, Emma Brunskill, Diyi Yang

The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification
Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych

When Generative Adversarial Networks Meet Sequence Labeling Challenges
Yu Tong, Ge Chen, Guokai Zheng, Rui Li, Jiang Dazhi

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
Sungho Ko, Hyunjin Cho, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee

Speechworthy Instruction-tuned Language Models
Hyundong Justin Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May

Data, Data Everywhere: A Guide for Pretraining Dataset Construction
Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

Fine-Tuning and Prompt Optimization: Two Good Steps that Work Better Together
Dilara Soylu, Christopher Potts, Omar Khattab

Demystifying Verbatim Memorization in Large Language Models
Jing Huang, Diyi Yang, Christopher Potts

AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
Ayana Niwa, Hayate Iso

Distributional Properties of Subword Regularization
Marco Cognetta, Vilém Zouhar, Naoaki Okazaki

DataTales: A Benchmark for Real-World Intelligent Data Narration
Yajing Yang, Qian Liu, Min-Yen Kan

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models
Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer

More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation
Wencke Liermann, Jin-Xia Huang, Yohan Lee, Kong Joo Lee

Stable Language Model Pre-training by Reducing Embedding Variability
Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun

What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations
Kavya Manohar, Leena G Pillai

Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets
Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych

Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas
Seungjong Sun, Eungu Lee, Seo Yeon Baek, Seunghyun Hwang, Lee wonbyung, Dongyan Nan, Bernard J Jansen, Jang Hyun Kim

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha

Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis
Yanjiang Chen, Kai Zhang, hufeng, Xianquan Wang, Ruikang li, Qi Liu

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl

Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA
Pu Jian, Donglei Yu, Jiajun Zhang

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf

Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
Milan BHAN, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot

What are the Generator Preferences for End-to-end Task-Oriented Dialog System?
Wanshi Xu, Xianwei Zhuang, Zhanpeng Chen, Zhihong Zhu, Xuxin Cheng, Yuexian Zou

Paraphrase Types Elicit Prompt Engineering Capabilities
Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp

VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models
Jingtao Cao, Zhang Zheng, Hongru WANG, Kam-Fai Wong

Towards Online Continuous Sign Language Recognition and Translation
Ronglai Zuo, Fangyun Wei, Brian Mak

Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment
Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang

Split and Merge: Aligning Position Biases in LLM-based Evaluators
Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation
Sougata Saha, Rohini Srihari

BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Wenda Xu, Jiachen Li, William Yang Wang, Lei Li

One2Set + Large Language Model: Best Partners for Keyphrase Generation
Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su

Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi

ORPO: Monolithic Preference Optimization without Reference Model
Jiwoo Hong, Noah Lee, James Thorne

A Multi-Perspective Analysis of Memorization in Large Language Models
Bowen Chen, Namgi Han, Yusuke Miyao

Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations
Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, Marco Guerini

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych

Unveiling the Role of Pretraining in Direct Speech Translation
Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà

PCQPR: Proactive Conversational Question Planning with Reflection
Shasha Guo

CodeAgent: Autonomous Communicative Agents for Code Review
Xunzhu Tang, KISUB KIM, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé

TroL: Traversal of Layers for Large Language and Vision Models
Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro

MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin

Revisiting Supertagging for faster HPSG parsing
Olga Zamaraeva, Carlos Gómez-Rodríguez

Improve Dense Passage Retrieval with Entailment Tuning
Lu Dai, Hao Liu, Hui Xiong

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models
Yuxiang Zhang, Jing Chen, Junjie Wang, Yaxin Liu, Cheng Yang, Chufan Shi, Xinyu Zhu, Zihao Lin, Hanwen WAN, Yujiu Yang, Tetsuya Sakai, Tian Feng, Hayato Yamana

TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models
Rodolfo Zevallos, Núria Bel, Mireia Farrús

DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting
Xuanming Zhang, Anthony Diaz, Zixun Chen, Qingyang Wu, Kun Qian, Erik Voss, Zhou Yu

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Fatemeh Pesaran zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim

PrExMe: Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
Christoph Leiter, Steffen Eger

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen

Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models
Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi

Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu

Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations
Matthias Lindemann, Alexander Koller, Ivan Titov

Puzzle Solving using Reasoning of Large Language Models: A Survey
Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues

Red Teaming Language Models for Processing Contradictory Dialogues
Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
Sander Land, Max Bartolo

Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
Houman Mehrafarin, Arash Eshghi, Ioannis Konstas

Don’t Underestimate the Octopus - Why The Symbol Grounding Problem Does Not Apply to LLMs
Reto Gubelmann

Major Entity Identification: A Generalizable Alternative to Coreference Resolution
Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, Vineet Gandhi

Enhancing High-order Interaction Awareness in LLM-based Recommender Model
Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
Akshay Paruchuri, Jake Garrison, shun liao, John B Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff

MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang

LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
Hayder Elesedy, Pedro M Esperanca, Silviu Vlad Oprea, Mete Ozay

“A good pun is its own reword”: Can Large Language Models Understand Puns?
Zhijun Xu, Siyu Yuan, Lingjie Chen, Deqing Yang

QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu

Dependency Graph Parsing as Sequence Labeling
Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez

NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, Etienne P Bernard

Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs
John Pavlopoulos, Panos Louridas, Panagiotis Filos

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu

Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
Bowen Zhang, Chunping Li

Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training
Marc Felix Brinner, Sina Zarrieß

Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl

Applying Contrastive Learning to Code Vulnerability Type Classification
Chen Ji, Su Yang, Hongyu Sun, Yuqing Zhang

TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
Ruida WANG, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang

Multi-Level Cross-Modal Alignment for Speech Relation Extraction
Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su

Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
Christopher Schröder, Gerhard Heyer

PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models
Jinsung Kim, Seonmin Koo, Heuiseok Lim

The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker

Subword Segmentation in LLMs: Looking at Inflection and Consistency
Marion Di Marco, Alexander Fraser

Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
Omar Sharif, Joseph Gatto, MADHUSUDAN BASAK, Sarah Masud Preum

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut

Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti

TL-CL: Task And Language Incremental Continual Learning
Shrey Satapara, P. K. Srijith

Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Daniel P Jeong, Saurabh Garg, Zachary Chase Lipton, Michael Oberst

Empowering Multi-step Reasoning across Languages via Program-Aided Language Models
Leonardo Ranaldi, Giulia Pucci

Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu

ControlMath: Controllable Data Generation Promotes Math Generalist Models
Nuo Chen, Ning Wu, Jianhui Chang, MING GONG, Linjun Shou, Dongmei Zhang, Jia Li

Where Am I From? Identifying Origin of LLM-generated Content
Liying LI, Yihan Bai, Minhao Cheng

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu

GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori Levin

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes

RA2FD: Distilling Faithfulness into Efficient Dialogue Systems
Zhiyuan Zhu, Yusheng Liao, Chenxin Xu, Yunfeng Guan, Yanfeng Wang, Yu Wang

Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation
Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
Kanishka Misra, Allyson Ettinger, Kyle Mahowald

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong

A Coordinate System for In-Context Learning
Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen

Self-Powered LLM Modality Expansion for Large Speech-Text Models
Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang

ABSEval: An Agent-based Framework for Script Evaluation
Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu

Latent Concept-based Explanation of NLP Models
Xuemin Yu, Fahim Dalvi, Nadir Durrani, Marzia Nouri, Hassan Sajjad

Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher
Hyunjong Ok, Jegwang Ryu, Jaeho Lee

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research
Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras

The Mystery of the Pathological Path-star Task for Language Models
Arvid Frydenlund

Voices in a Crowd: Searching for clusters of unique perspectives
Nikolas Vitsakis, Amit Parekh, Ioannis Konstas

Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent
Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu

SLANG: New Concept Comprehension of Large Language Models
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng

Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
Michael Lan, Philip Torr, Fazl Barez

Why Does New Knowledge Create Messy Ripple Effects in LLMs?
Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji

Lifelong Event Detection via Optimal Transport
Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Van Ngo, Thien Huu Nguyen

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot

FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
KaShun SHUM, Minrui Xu, Jianshu Zhang, Zixin CHEN, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza

Domain adapted machine translation: What does catastrophic forgetting forget and why?
Danielle Saunders, Steve DeNeefe

Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback
Benjamin Towle, Ke Zhou

Atomic Self-Consistency for Better Long Form Generations
Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra

“Global is Good, Local is Bad?’’: Understanding Brand Bias in LLMs
Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim

Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
Siqi Li, Danni Liu, Jan Niehues

ACE: A LLM-based Negotiation Coaching System
Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang

PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals
Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
Xueren Ge, Abhishek Satpathy, Ronald Dean Williams, John Stankovic, Homa Alemzadeh

$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang

Large Language Models Can Self-Correct with Key Condition Verification
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays
Zixin Tang, Janet van Hell

Defending Against Social Engineering Attacks in the Age of LLMs
Lin Ai, Tharindu Sandaruwan Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael S. Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, huan liu, Julia Hirschberg

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models
Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi

Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

Target-Aware Language Modeling via Granular Data Sampling
Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra

SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness
Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng

Learning from Feedback with Coupled Comprehension and Generation
Mustafa Omer Gul, Yoav Artzi

UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei

Story Morals: Surfacing value-driven narrative schemas using large language models
David G Hobson, Haiqi Zhou, Derek Ruths, Andrew Piper

OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents
Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard Dragut

Analysis of Plan-based Retrieval for Grounded Text Generation
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer

Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
Alex Chandler, Devesh Surve, Hui Su

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker

Improving Logical Fallacy Reasoning with Logical Structure Tree
Yuanyuan Lei, Ruihong Huang

Chain and Causal Attention for Efficient Entity Tracking
Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen

BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia

A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
Zhengmian Hu, Tong Zheng, Heng Huang

FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu

OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation
Tanvir Mahmud, Diana Marculescu

Language Concept Erasure for Language-invariant Dense Retrieval
Zhiqi Huang, Puxuan Yu, Shauli Ravfogel, James Allan

Learning Personalized Alignment for Evaluating Open-ended Text Generation
Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian

Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang

Turn Waste into Worth: Rectifying Top-$k$ Router of MoE
Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu

Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination
Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas

CommVQA: Situating Visual Question Answering in Communicative Contexts
Nandita Shankar Naik, Christopher Potts, Elisa Kreiss

Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding
Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G Honavar

Style-Specific Neurons for Steering LLMs in Text Style Transfer
Wen Lai, Viktor Hangya, Alexander Fraser

Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers
Tianhua Zhang, Kun LI, Hongyin Luo, Xixin Wu, James R. Glass, Helen M. Meng

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu

Leveraging Context-aware Prompting for Commit Message Generation
Zhihua Jiang, Jianwei Chen, Dongning Rao, Guanghui Ye

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue’

A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
Zhihao Wang, Shiyu Liu, Jianheng Huang, Wang Zheng, YiXuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su

Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R Mortensen

An Analysis and Mitigation of the Reversal Curse
Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan

Exploring the Practicality of Generative Retrieval on Dynamic Corpora
Soyoung Yoon, Chaeeun Kim, Hyunji Lee, Joel Jang, Sohee Yang, Minjoon Seo

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen

Gotcha! Don’t trick me with unanswerable questions! Self-aligning Large Language Models for Proactively Responding to Unknown Questions
Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua

Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning
Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang

Large Language Models in the Clinic: A Comprehensive Benchmark
Fenglin Liu, Zheng Li, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Hongjian Zhou, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei Clifton, Bing Yin, David A. Clifton

Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu

Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective
Van-Cuong Pham, Thien Huu Nguyen

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
Jinyoung Kim, Dayoon Ko, Gunhee Kim

Preserving Generalization of Language models in Few-shot Continual Relation Extraction
Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee Wei Tan, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang

Consecutive Batch Model Editing with HooK Layers
Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang CHEN, Wai Lam

Topic-Oriented Open Relation Extraction with A Priori Seed Generation
Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han

Related Work and Citation Text Generation: A Survey
Xiangci Li, Jessica Ouyang

Curriculum Consistency Learning for Conditional Sentence Generation
Liangxin Liu, Xuebo Liu, Lian Lian, shengjun cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang

A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences
Leonardo Bertolazzi, Albert Gatt, Raffaella Bernardi

Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
Fan Jiang, Tom Drummond, Trevor Cohn

Towards an Open-Source Speech Foundation Model for EU: 950,000 Hours of Open-Source Compliant Speech Data for EU Languages
Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri

Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
Jiashi Lin, Lifang Wang, Xinyu Lu, Zhongtian Hu, Wei Zhang, Wenxuan Lu

Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation
Ali Basirat, Navid Baradaran Hemmati

TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse
Francesco Periti, Pierluigi Cassotti, Stefano Montanelli, Nina Tahmasebi, Dominik Schlechtweg

Structured Optimal Brain Pruning for Large Language Models
Jiateng Wei, Quan Lu, ning jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu

Automatically Generated Definitions and their utility for Modeling Word Meaning
Francesco Periti, David Alfter, Nina Tahmasebi

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
Yejie Wang, Keqing He, Dayuan Fu, Zhuoma GongQue, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu

MINT: A Benchmark for Evaluating Instructed Information Retrieval
Weiwei Sun, Zhengliang Shi, Wu Jiu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren

Rethinking the Evaluation of In-Context Learning for LLMs
Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao

Cluster-Norm for Unsupervised Probing of Knowledge
Walter Laurito, Sharan Maiya, Grégoire DHIMOÏLA, Owen Ho Wan Yeung, Kaarel Hänni

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries
Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson

Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng

Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts
Seonmin Koo, Jinsung Kim, YoungJoon Jang, Chanjun Park, Heuiseok Lim

KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
Matthew Shu, Nishant Balepur, Shi Feng, Jordan Lee Boyd-Graber

Large Language Models Can Be Contextual Privacy Protection Learners
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng

A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
Nishant Balepur, Matthew Shu, Alexander Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan Lee Boyd-Graber

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf

MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee

First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui

Tools Fail: Detecting Silent Errors in Faulty Tools
Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk

Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
Bowen Zhang, Chunping Li

Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing
Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Lee

Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling
Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia, Oliver Lemon, Arash Eshghi

Are LLMs Good Zero-Shot Fallacy Classifiers?
Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu

The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis
Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He

More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages
Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi

Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama

ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
Arpan Phukan, Manish Gupta, Asif Ekbal

Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi

Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG
William Merrill, Noah A. Smith, Yanai Elazar

ASL STEMpedia: Dataset and Benchmark for Interpreting STEM Articles
Kayo Yin, Chinmay Singh, Fyodor O Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Xijie Lu, Danielle Bragg

Can Automatic Metrics Assess High-Quality Translations?
Sweta Agrawal, António Farinhas, Ricardo Rei, Andre Martins

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation
Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Faria, Patrick Fernandes, Nuno M Guerreiro, Andre Martins

DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

SecCoder: Towards Generalizable and Robust Secure Code Generation
Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin

Nash CoT: Multi-Path Inference with Preference Equilibrium
Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou

Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di ZHANG, Kun Gai, Ji-Rong Wen

Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz

Social Bias Probing: Fairness Benchmarking for Language Models
Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Wenhao Yu, Hongming Zhang, Xiaoman Pan, peixin cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu

DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li

Revisiting Automated Evaluation for Long-form Table Question Answering in the Era of Large Language Models
Yuqi Wang, Lyuhao Chen, Yilun Zhao

Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems
Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang

FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
Yilun Zhao, Yitao Long, Tintin Jiang, Weiyuan Chen, Chengye Wang, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan

Extracting Prompts by Inverting LLM Outputs
Collin Zhang, John Xavier Morris, Vitaly Shmatikov

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs
Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu

VHASR: A Multimodal Speech Recognition System With Vision Hotwords
Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, hai zhao

A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors
Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell

Bridging Local Details and Global Context in Text-Attributed Graphs
Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, liyunfei, Siliang Tang

Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks
Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva

RepMatch: Quantifying Cross-Instance Similarities in Representation Space
Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar

Commonsense Knowledge Editing Based on Free-Text in LLMs
Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu

A Closer Look at Multidimensional Online Political Incivility
Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov

Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training
Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu

Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky

Unsupervised Named Entity Disambiguation for Low Resource Domains
Debarghya Datta, Soumajit Pramanik

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
Viktoriia A. Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan Oseledets

MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion
Qingyang Li, Yanru Zhong, Yuchu Qin

ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities
Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim, Yangqiu Song

Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning
Xiaopeng Xie, Ming YAN, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou

GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith

RaTEScore: A Metric for Entity-Aware Radiology Text Similarity
Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Weidi Xie

HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning
Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Victor Alvarez, Erica M Salinas, Erwin Cornejo

Learning to Rank Salient Content for Query-focused Summarization
Sajad Sotudeh, Nazli Goharian

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

LitSearch: A Retrieval Benchmark for Scientific Literature Search
Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao

Open-world Multi-label Text Classification with Extremely Weak Supervision
Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

LMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls

AKEW: Assessing Knowledge Editing in the Wild
Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu

CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh

Dense X Retrieval: What Retrieval Granularity Should We Use?
Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach
Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang

Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
Zheng Zhao, Yftah Ziser, Shay B Cohen

XDetox: Text Detoxification with Token-Level Toxicity Explanations
Beomseok Lee, Hyunwoo Kim, Keon Kim, Yong Suk Choi

Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach
ZiHao Xiao, Jiefu Gong, Shijin Wang, Wei Song

Evaluating LLMs’ Capability in Satisfying Lexical Constraints
Bingxuan Li, Yiwei Wang, Tao Meng, Nanyun Peng, Kai-Wei Chang

Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion
Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Fang wei, Eddie Y.K. Eddie

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang

RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts
Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
Zi’ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu

Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning
Panuthep Tasawong, Peerat Limkonchotiwat, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong

MetaBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
Hongru WANG, Rui Wang, Boyang XUE, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen

AudioVSR: Enhancing Video Speech Recognition with Audio Data
Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu

Re-ReST: Reflection-Reinforced Self-Training for Language Agents
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng

Effective Synthetic Data and Test-Time Adaptation for OCR Correction
Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene

SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework
Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan, Xin Li, YongxueWu

FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
Junzhuo Liu, Xuzheng Yang, WEIWEI LI, Peng Wang

Exploring the Learning Capabilities of Language Models using LEVERWORLDS
Eitan Wagner, Amir Feder, Omri Abend

CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
Eitan Wagner, Yuli Slavutsky, Omri Abend

DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding
Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha

DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging
Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen

Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing
Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

Re-Reading Improves Reasoning in Large Language Models
Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma

Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis
Qingcheng Zeng, Mingyu Jin, Rob Voigt

ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments
Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Dr Payal Arvind Kasat, Somak Aditya, Pawan Goyal

Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations
Jiyi Li

Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation
Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu

Revisiting Supervised Contrastive Learning for Microblog Classification
Junbo Huang, Ricardo Usbeck

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective
Zhaotian Weng, Zijun Gao, Jerone Andrews, Jieyu Zhao

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei

SciAgent: Tool-augmented Language Models for Scientific Reasoning
Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun

Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents
Dong Won Lee, Hae Won Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency

Towards Measuring and Modeling “Culture” in LLMs: A Survey
Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji, Jacki O’Neill, Ashutosh Modi, Monojit Choudhury

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models
Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Jian Wang, Liang Dandan, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang

Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting
Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury

Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features
Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu

Hate Personified: Investigating the role of LLMs in content moderation pipeline for hate speech
Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty

Temporally Consistent Factuality Probing for Large Language Models
Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty

A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann

Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, hanyu Zhao, Siqi Fan, Zheng Zhang

Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning
Sam Spilsbury, Pekka Marttinen, Alexander Ilin

FAME: Factual Multi-task Model Editing Benchmark
Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo

MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance
Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi XIE, Rui Pan, Qing LIAN, Hanze Dong, Jipeng Zhang, Tong Zhang

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma

InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang

VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models
Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin

CorrSynth - A Correlated Sampling Method for Diverse dataset Generation from LLMs
Abhishek Divekar, Suhas S Kowshik, Vijit Malik

Defining Knowledge: Bridging Epistemology and Large Language Models
Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard

TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs
Peiwen Jiang, Zibo Zhao, Xinbo Lin, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng

Free your mouse! Command Large Language Models to Generate Code to Format Word Documents
Shihao Rao, Liang Li, Jiapeng Liu, Guan Weixin, Xiyan Gao, bing lim

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models
Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan

The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs
Tianyang Han, Qing LIAN, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang

Rationale-Aware Answer Verification by Pairwise Self-Evaluation
Akira Kawabata, Saku Sugawara

On the Robustness of Editing Large Language Models
Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, hai zhao, lifeng Liu, Yulong Wang

IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
MiHyeon Kim, Juhyoung Park, YoungBin Kim

Distract Large Language Models for Automatic Jailbreak Attack
Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen

Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification
He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin

WorryWords: Norms of Anxiety Association for 44,450 English Words
Saif M. Mohammad

Finding Blind Spots in Evaluator LLMs with Interpretable Checklists
Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M Khapra

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration
Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang

AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
Till Raphael Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Saloni Potdar, Yunyao Li

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang

Scaling Laws for Linear Complexity Language Models
Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong

Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards
Heejin Do, Sangwon Ryu, Gary Lee

Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis
Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Johnson

ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models
Fu Zhang, Yifan Ding, Jingwei Cheng

LM2: A Simple Society of Language Models Solves Complex Reasoning
Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty

Towards a Semantically-aware Surprisal Theory
Clara Meister, Mario Giulianelli, Tiago Pimentel

Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering
Adjali Omar, Olivier Ferret, Sahar Ghannay, Hervé Le Borgne

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty

BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training
Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov

SEGMENT+: Long Text Processing with Short-Context Language Models
Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao

Explicit Memory Learning with Expectation Maximization
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang

Learning to Generate Writing Feedback via Language Model Simulated Student Revisions
Inderjeet Jayakumar Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang

Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions
Clement Neo, Shay B Cohen, Fazl Barez

Still Not Quite There! Assessing Large Language Models for Comorbid Mental Health Diagnosis
Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar, Rashmi Gupta

The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning
Shaobo Cui, Zhijing Jin, Bernhard Schölkopf, Boi Faltings

Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Răzvan-Alexandru Smădu, David-Gabriel ION, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng

Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty

MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations
Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam .

**YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models**
Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, ANKIT RAJ, Pawan Goyal, Niloy Ganguly

Scaling Cognitive Limits: Identifying Working Memory Limits in LLMs
Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi

RAFT: Realistic Attacks to Fool Text Detectors
James Liyuan Wang, Ran Li, Junfeng Yang, Chengzhi Mao

LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks
Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
AJAY KUMAR JAISWAL, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella

LLM-based Code-Switched Text Generation for Grammatical Error Correction
Tom Potter, Zheng Yuan

Deciphering the Interplay of Parametric and Non-Parametric Memory in RAG Models
Mehrdad Farahani, Richard Johansson

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
Geewook Kim, Minjoon Seo

Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
Zihao He, Rebecca Dorn, Minh Duc Chu, Siyi Guo, Kristina Lerman

Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
Eldar Kurtic, Amir Moeini, Dan Alistarh

Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna

One Thousand and One Pairs: A “novel” challenge for long-context language models
Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung

Do LLMs learn a true syntactic universal?
John T. Hale, Miloš Stanojević

GDPO: Learning to Align Language Models with Diversity Using GFlowNets
Oh Joon Kwon, Daiki E. Matsunaga, Kee-Eung Kim

How Susceptible are Large Language Models to Ideological Manipulation?
Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman

Measuring Psychological Depth in Language Models
Fabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Nanyun Peng, Amit Sahai

Media Attitude Detection via Framing Analysis with Events and their Relations
Jin Zhao, Jingxuan Tu, Han Du, Nianwen Xue

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data
Yang Ba, Michelle V Mancenido, Rong Pan

Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations
Sagi Shaier, Ari Kobren, Philip V. Ogren

Granular Privacy Control for Geolocation with Vision Language Models
Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter

MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain
Chao Jiang, Wei Xu

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang

FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization
Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao

StorySpark: Expert-Annotated QA Pairs with Real-World Knowledge for Children Storytelling
Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun

MedCoT: Medical Chain of Thought via Hierarchical Expert
Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu

Varying Sentence Representations via Condition-Specified Routers
Ziyong Lin, Quansen Wang, Zixia Jia, Zilong Zheng

Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
Jiao Ou, jiayu wu, Che Liu, Fuzheng Zhang, Di ZHANG, Kun Gai

Information Flow Routes: Automatically Interpreting Language Models at Scale
Javier Ferrando, Elena Voita

A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models
Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang

Low-rank Subspace for Binding in Large Language Models
Qin Dai, Benjamin Heinzerling, Kentaro Inui

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
Erxin Yu, Jing Li, Ming Liao, Siqi Wang, GAO Zuchen, Fei Mi, Lanqing HONG

ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
Tobias Schimanski, Jingwei Ni, Roberto Spacey Martín, Nicola Ranger, Markus Leippold

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
LIU Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang

Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness
Shixuan Ma, Quan Wang

Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection
Zhanpeng Chen, Zhihong Zhu, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou

From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking
Siyuan Wang, Zhuohan Long, Zhihao Fan, zhongyu wei

Symbolic Working Memory Enhances Language Models for Complex Rule Application
Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren

LLoCO: Learning Long Contexts Offline
Sijun Tan, Xiuyu Li, Shishir G Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Popa

Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, WANG CHEN, Anh Tuan Luu

Mentor-KD: Making Small Language Models Better Multi-step Reasoners
Hojae Lee, Junho Kim, SangKeun Lee

Are Large Language Models Capable of Generating Human-Level Narratives?
Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng

MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs
Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung

Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction
Haohui Lu, Usman Naseem

Searching for Best Practices in Retrieval-Augmented Generation
Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang

Moral Foundations of Large Language Models
Marwa Abdulhai, Gregory Serapio-García, Clement CREPY, Daria Valter, John Canny, Natasha Jaques

The Zeno’s Paradox of ‘Low-Resource’ Languages
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury

Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar

Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition
Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan

From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment
Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui

Embedded Named Entity Recognition using Probing Classifiers
Nicholas Popovic, Michael Färber

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu

Data Contamination Can Cross Language Barriers
Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang

Automated Essay Scoring: A Reflection on the State of the Art
Shengjie Li, Vincent Ng

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang

CURE: Context- and Uncertainty-Aware Mental Disorder Detection
Migyeong Kang, goun choi, Hyolim Jeon, Ji hyun An, Daejin Choi, Jinyoung Han

PepRec: Progressive Enhancement of Prompting for Recommendation
Yakun Yu, Shi-ang Qi, Baochun Li, Di Niu

In-Context Compositional Generalization for Large Vision-Language Models
Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia

Improving Zero-shot LLM Re-Ranker with Risk Minimization
Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu

Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory
Xianwei Zhuang, Zhihong Zhu, Zhanpeng Chen, Yuxin Xie, Liming Liang, Yuexian Zou

Label Confidence Weighted Learning for Target-level Sentence Simplification
Jingshen Zhang, Xin Ying Qiu

Quantum Recurrent Architectures for Text Classification
Wenduan Xu, Stephen Clark, Douglas Brown, Gabriel Matos, Konstantinos Meichanetzidis

Tree of Problems: Improving structured problem solving with compositionality
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden

What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof-Arenas, Luisa Bentivogli

Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
Zichao Li, Shaojie He, Meng Liao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Yanxiong Lu, Xianpei Han, Le Sun

Is C4 Dataset Enough for Pruning? An Investigation of Calibration Data for LLM Pruning
Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, AJAY KUMAR JAISWAL, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu

Revisiting the Robustness of Watermarking to Paraphrasing Attacks
Saksham Rastogi, Danish Pruthi

A Survey of Ontology Expansion for Conversational Understanding
Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao

Calibrating Language Models with Adaptive Temperature Scaling
Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn

Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

Why do objects have many names? A study on word informativeness in language use and lexical systems.
Eleonora Gualdoni, Gemma Boleda

Dual-Space Knowledge Distillation for Large Language Models
Songming Zhang, Xue Zhang, Zengkui Sun, Yufeng Chen, Jinan Xu

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik

On the Universal Truthfulness Hyperplane Inside LLMs
Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He

PairDistill: Pairwise Relevance Distillation for Dense Retrieval
Chao-Wei Huang, Yun-Nung Chen

User Inference Attacks on Large Language Models
Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
YongKang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schuetze

Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation
Matthew Raffel, Victor Agostinelli, Lizhong Chen

ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
Qinzhuo Wu, Wei Liu, Jian Luan, Bin Wang

Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification
Esra Dönmez, Thang Vu, Agnieszka Falenska

How to Compute the Probability of a Word
Tiago Pimentel, Clara Meister

A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks
Elie Antoine, Frederic Bechet, Géraldine Damnati, Philippe Langlais

GuardBench: A Large-Scale Benchmark for Guardrail Models
Elias Bassani, Ignacio Sanchez

Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu

Language models and brains align due to more than next-word prediction and word-level information
Gabriele Merlin, Mariya Toneva

LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong

CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, Rodrigo Agerri

A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression
Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini

GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration
Linhao Zhang, Jintao Liu, Li Jin, Hao Wang, kaiwen wei, Guangluan Xu

D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
Aida Mostafazadeh Davani, Mark Diaz, Dylan K Baker, Vinodkumar Prabhakaran

PALM: Few-Shot Prompt Learning for Audio Language Models
Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi, Hanan Aldarmaki

Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah, Enrico Liscio

Lost in Tokenization: How to Measure Word Surprisal From LM Token Probabilities
Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell, Mario Giulianelli

Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno M Guerreiro

Jailbreaking LLMs with Arabic Transliteration and Arabizi
Mansour Al Ghanim, saleh almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou

Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models
Zara Siddique, Liam Turner, Luis Espinosa-Anke

Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks
Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae

Recurrent Alignment with Hard Attention for Hierarchical Text Rating
Chenxi Lin, Ren Jiayu, Guoxiu He, Zhuoren Jiang, Haiyan yu, Xiaomin Zhu

CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification
Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li

Semformer: Transformer Language Models with Semantic Planning
Yongjing Yin, Junran Ding, Kai Song, Yue Zhang

DocCGen: Document-based Controlled Code Generation
Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya

Semantics and Sentiment: Cross-lingual Variations in Emoji Use
Giulio Zhou, Sydelle de Souza, Ella Markham, Oghenetekevwe Kwakpovwe, Sumin Zhao

The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations
Daniel Akkerman, Phong Le, Raquel G. Alhama

Transformers are Multi-State RNNs
Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, Roy Schwartz

Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization
Niyati Bafna, Kenton Murray, David Yarowsky

Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion
Kerem Zaman, Leshem Choshen, Shashank Srivastava

Collective Critics for Creative Story Generation
Minwook Bae, Hyounghun Kim

Surprisal Curves of Discourse
Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt

Model-based Preference Optimization in Abstractive Summarization without Human Feedback
Jaepill choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe

NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries
Simona Emilova Doneva, Tilia Ellendorff, Jean-Philippe Goldman, Amelia Elaine Cannon, Gerold Schneider, Beate Sick, Benjamin Victor Ineichen

Do Explanations Help or Hurt? Saliency Maps vs Natural Language Explanations in a Clinical Decision-Support Setting
Maxime Guillaume Kayser, Bayar Menzat, Cornelius Emde, Bogdan Alexandru Bercean, Alex Novak, Abdalá Trinidad Espinosa Morgado, Bartlomiej Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
WEIHE ZHAI, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao

Generation with Dynamic Vocabulary
Yanting Liu, Tao Ji, Yuanbin Wu, Xiaoling Wang, Changzhi Sun

Argument Relation Classification through Discourse Markers and Adversarial Training
Michele Luca Contalbo, Francesco Guerra, Matteo Paganelli

Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection
Abhishek Purushothama, Adam Wiemerslage, Katharina von der Wense

Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev

Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models
Po-Heng Chen, Yun-Nung Chen

Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu

TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning
Kate Sanders, Nathaniel Weir, Benjamin Van Durme

Unsupervised Extraction of Dialogue Policies from Conversations
Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien

GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization
Onkar Kishor Susladkar, Gayatri Sudhir Deshmukh, Vandan Gorade, Sparsh Mittal

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim

FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
Wenyan Li, Crystina Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott

A Two-Step Approach for Data-Efficient French Pronunciation Learning
Hoyeon Lee, Hyeeun Jang, JONGHWAN KIM, Jaemin Kim

Exploring Intra and Inter-language Consistency in Embeddings with ICA
Rongzhi Li, Takeru Matsuda, Hitomi Yanaka

DetoxLLM: A Framework for Detoxification with Explanations
Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan

Building a Multi-Platform, BERT Classifier for Detecting Connective Language
Josephine Lukito, Bin Chen, Gina M. Masullo, Natalie Jomini Stroud

ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
Yash Akhauri, Ahmed F AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M Rush, Safeen Huda, Mohamed S Abdelfattah

Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health
Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J Feldman, Kristen Lindquist, Saif M. Mohammad

BLSP-Emo: Towards Empathetic Large Speech-Language Models
Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
Abhishek Divekar, Greg Durrett

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang

DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty

DEM: Distribution Edited Model for Training with Mixed Data Distributions
Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha

Altogether: Image Captioning via Re-aligning Alt-text
Hu Xu, Po-Yao Huang, Xiaoqing Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer

VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp
Seo Yeon Park, Cornelia Caragea

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Ray Mooney

Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics
Théo Gigant, Camille Guinaudeau, Marc decombas, Frederic Dufaux

An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs
Manuj Malik, Jing Jiang, Kian Ming A. Chai

Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks
Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas

GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning
Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev

CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang

Sequential API Function Calling Using GraphQL Schema
Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta

The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems
Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß

Re-Evaluating Evaluation for Multilingual Summarization
Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick

Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
Heng zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou

A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition
Caio Filippo Corro

Factuality of Large Language Models in the Year 2024
Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Nenkov Georgiev, Rocktim Jyoti Das, Preslav Nakov

Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
Youngwoo Kim, Razieh Rahimi, James Allan

Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko

DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers
Rakesh R Menon, Shashank Srivastava

IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha

Scope-enhanced Compositional Semantic Parsing for DRT
Xiulin Yang, Jonas Groschwitz, Alexander Koller, Johan Bos

The Generation Gap: Exploring Age Bias Underlying in the Value Systems of Large Language Models
Siyang Liu, Trisha Maturi, Bowen Yi, Siqi Shen, Rada Mihalcea

TempoFormer: A Transformer for Temporally-aware Representations in Change Detection
Talia Tseriotou, Adam Tsakalidis, Maria Liakata

Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?
Guillermo Marco, Julio Gonzalo, M.Teresa Mateo-Girona, Ramón del Castillo Santos

Evaluating Diversity in Automatic Poetry Generation
Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger

Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
Yi Zhou, Danushka Bollegala, Jose Camacho-Collados

Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection
Camilla Casula, Sebastiano Vecellio Salto, Alan Ramponi, Sara Tonelli

Grounding Language in Multi-Perspective Referential Communication
Zineng Tang, Lingjun Mao, Alane Suhr

Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval
Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang, Tao Yang

Error Analysis of Multilingual Language Models in Machine Translation for Low-resource Languages: A Case Study of Amharic to English Bi-directional Machine Translation
Hizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo

MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation
Arkadiusz Modzelewski, Giovanni Da San Martino, Pavel Savov, Magdalena Anna Wilczyńska, Adam Wierzbicki

Unsupervised Discrete Representations of American Sign Language
Artem Abzaliev, Rada Mihalcea

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui

Jump Starting Bandits with LLM-Generated Prior Knowledge
Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
Fırat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çağatay Yıldız

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun

Virtual Personas for Language Models via an Anthology of Backstories
Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral

Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun

The Empirical Variability of Narrative Perceptions of Social Media Texts
Joel Mire, Maria Antoniak, Elliott Ash, Andrew Piper, Maarten Sap

Which questions should I answer? Salience Prediction of Inquisitive Questions
Yating Wu, Ritika Rajesh Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li

Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues
Lei Sun, Jinming Zhao, Qin Jin

Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech
Guan-Ting Lin, Wei Ping Huang, Hung-yi Lee

Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Sachit Menon, Richard Zemel, Carl Vondrick

CodeJudge: Evaluating Code Generation with Large Language Models
Weixi Tong, Tianyi Zhang

Self-Training Large Language and Vision Assistant for Medical
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, ZHIQIANG TAO

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization
Prakamya Mishra, Zonghai Yao, Parth Vashisht, Feiyun Ouyang, Beining Wang, Vidhi Dhaval Mody, hong yu

Defending Jailbreak Prompts via In-Context Adversarial Game
Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang

Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter
Kateryna Kasianenko, Shima Khanehzar, Stephen Wan, Ehsan Dehghan, Axel Bruns

Multilingual Topic Classification in X: Dataset and Analysis
Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Jose Camacho-Collados

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

Updating CLIP to Prefer Descriptions Over Captions
Amir Zur, Elisa Kreiss, Karel D’Oosterlinck, Christopher Potts, Atticus Geiger

CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research
Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang

Back to School: Translation Using Grammar Books
Jonathan Hus, Antonios Anastasopoulos

VIEWS: Entity-Aware News Video Captioning
Hammad Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, feng han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang

Towards Aligning Language Models with Textual Feedback
Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

ATPO: Automatic Tree-Structured Prompt Optimization
Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Xiaodi Sun, Bin Benjamin Zhu, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang

DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, shimin tao, Hao Yang, Min Zhang

DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection
Devleena Das, Vivek Khetan

Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models
Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi

“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations
Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, Monojit Choudhury, Tanu Mitra

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models
Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen

Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
Gabriel Roccabruna, Massimo Rizzoli, giuseppe riccardi

Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai

Framework for Robust and Scalable Text Watermarking
Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low

MASIVE: Open-Ended Affective State Identification in English and Spanish
Nicholas Deas, Elsbeth Turcan, Ivan Ernesto Perez Mejia, Kathleen McKeown

You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions
Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan Lee Boyd-Graber

AlphaExpert: Assigning LoRA Experts Based on Layer Training Quality
Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi

Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling
Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Question
Leena Mathur, Paul Pu Liang, Louis-Philippe Morency

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang

Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese
Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, Alice Oh

Learnability of Indirect Evidence in Language Models
Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara

Do LLMs Know to Respect Copyright Notice?
Jialiang Xu, SHENGLAN LI, Zhaozhuo Xu, Denghui Zhang

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
Hanchi Sun, Tianyi Zhou, Xun Chen, Lichao Sun

Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, seung-won hwang

Rethinking the Role of Proxy Rewards in Language Model Alignment
Sungdong Kim, Minjoon Seo

Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant
Abhirama Subramanyam Penamakuri, Anand Mishra

How Good is my MT Metric? A Framework for the Interpretation of Metric Assessments
Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli

IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
Soeun Lee, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim

SPREADSHEETLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality
Rositsa V Ivanova, Thomas Huber, Christina Niklaus

Automatic sentence segmentation of clinical record narratives in real-world data
Dongfang Xu, Davy Weissenbacher, Karen O’Connor, Siddharth Rawal, Graciela Gonzalez Hernandez

One-to-Many Communication and Compositionality in Emergent Communication
Heeyoung Lee

Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities
Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali

Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral

Contrastive Classification via Linear Layer Extrapolation
Mayukh Sharma, Sean O’Brien, Julian McAuley

Task Oriented In-Domain Data Augmentation
Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao

SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers
Shruti Singh, Nandan Sarkar, Arman Cohan

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules
Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan

No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny

PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection
Someen Park, Jaehoon Kim, Seungwan Jin, Sohyun Park, Kyungsik Han

TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR
Shashi Kumar, Srikanth Madikeri, Juan Pablo Zuluaga Gomez, Iuliia Thorbecke, Esaú VILLATORO-TELLO, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S, Aravind Ganapathiraju

ApiQ: Finetuning of 2-Bit Quantized Large Language Model
Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz

Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu

A Morphology-Based Investigation of Positional Encodings
Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya

I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining
Vahid Ghafouri, Jose M. Such, Guillermo Suarez-Tangil

BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability
Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal

ArMeme: Propagandistic Content in Arabic Memes
Firoj Alam, Abul Hasnat, Fatema Ahmad, Md. Arid Hasan, Maram Hasanain

Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts
Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli

Thoughts to Target: Enhance Planning for Target-driven Conversation
Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie

Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi

Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
Zhe Cao, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe

Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters
Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe

Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation
Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim

Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers
Tuc Van Nguyen, Thai Le

Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
Woojin Kim, Sungeun Hahm, Jaejin Lee

Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
Prisha Samdarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan

GottBERT: a pure German Language Model
Raphael Scheible, Johann Frei, Fabian Thomczyk, Henry He, Patric Tippmann, Jochen Knaus, Victor Jaravine, Frank Kramer, Martin Boeker

Computational Meme Understanding: A Survey
Khoi P. N. Nguyen, Vincent Ng

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis

Retrieval-enriched zero-shot image classification in low-resource domains
Nicola Dall’Asen, Yiming Wang, Enrico Fini, Elisa Ricci

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, hufeng, Yu Su, Qi Liu

Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy

Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing
Baihe Huang, Hiteshi Sharma, Yi Mao

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist

Show and Guide: Instructional-Plan Grounded Vision and Language Model
Diogo Glória-Silva, David Semedo, Joao Magalhaes

Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents
Bandhav Veluri, Benjamin N Peloquin, Bokai YU, Hongyu Gong, Shyamnath Gollakota

QuBE: Question-based Belief Enhancement for Agentic LLM
Minsoo Kim, Jongyoon Kim, Jihyuk Kim, seung-won hwang

COMPACT: Compressing Retrieved Documents Actively for Question Answering
Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang

An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models
Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Reza Haf, Yuan-Fang Li

Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar

Local Contrastive Editing of Gender Stereotypes
Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher

De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Tunde Suleiman, Yash Mathur, Kaushal Kumar Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach

RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages
Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le

STAR: SocioTechnical Approach to Red Teaming Language Models
Laura Weidinger, John F J Mellor, Bernat Guillén Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel D. Rodriguez, Verena Rieser, William Isaac

Do great minds think alike? Investigating Human-AI Complementarity for Question Answering
Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan Lee Boyd-Graber

Memory-Efficient Fine-Tuning of Transformers via Token Selection
Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang

Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories
Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner
Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min zhang

Preference-Guided Reflective Sampling for Aligning Language Models
Hai Ye, Hwee Tou Ng

Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP
Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat

Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap

A Simple LLM Framework for Long-Range Video Question-Answering
Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius

Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli

Casablanca: Data and Models for Multidialectal Arabic Speech Recognition
Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, Mariem Habiboullah, Chafei Mohamed Chafei, Ahmed Oumar El-Shangiti, Hiba Zayed, Mohamedou cheikh tourad, Rahaf Alhamouri, Rwaa Assi, Aisha Alraeesi, Hour Mohamed, Fakhraddin Alwajih, Abdelrahman Mohamed, Abdellah EL MEKKI, El Moatez Billah Nagoudi, Benelhadj Djelloul Mama Saadia, Hamzah A. Alsayadi, Walid Al-Dhabyani, Sara Shatnawi, Yasir ECH-CHAMMAKHY, AMAL MAKOUAR, Yousra Berrachedi, Mustafa Jarrar, Shady Shehata, Ismail Berrada, Muhammad Abdul-Mageed

Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations
Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria

Communicating with Speakers and Listeners of Different Pragmatic Levels
Kata Naszadi, Frans A Oliehoek, Christof Monz

RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets
Bhathiya Hemanthage, Hakan Bilen, Phil Bartie, Christian Dondrup, Oliver Lemon

Sprout: Green Generative AI with Carbon-Efficient LLM Inference
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari

Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs
Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, Mark Dredze

T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings
Björn Deiseroth, Manuel Brack, Samuel Weinbach, Patrick Schramowski, Kristian Kersting

SpeechQE: Estimating the Quality of Direct Speech Translation
HyoJung Han, Kevin Duh, Marine Carpuat

Assessing and Verifying Task Utility in LLM-Powered Applications
Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Hassan Awadallah, Charles L. A. Clarke, Julia Kiseleva

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models
Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing

Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree
Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik

Adversarial Text Generation using Large Language Models for Dementia Detection
Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, Xiaohui Liang

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics
Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger

The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas
Giovanni Franco Gabriel Marraffini, Andrés Cotton, Noe Fabian Hsueh, Juan Wisznia, Axel Fridman, Luciano Del Corro

FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding
Jiali Cheng, Hadi Amiri

Style-Shifting Behaviour of the Manosphere on Reddit
Jai Aggarwal, Suzanne Stevenson

The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective
Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang

Holistic Evaluation for Interleaved Text-and-Image Generation
Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang

FOLIO: Natural Language Reasoning with First-Order Logic
SIMENG HAN, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander Fabbri, Wojciech Maciej Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev

The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?
Alexander Choi, Syeda Sabrina Akter, J.P. Singh, Antonios Anastasopoulos

Is Child-Directed Speech Effective Training Data for Language Models?
Steven Y. Feng, Noah Goodman, Michael Frank

RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference
Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao

HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs
Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan

M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
Gitanjali Kumari, Kirtan Jain, Asif Ekbal

GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation
Govind Ramesh, Yao Dou, Wei Xu

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
Kiseung Kim, Jay-Yoon Lee

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth

Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model
Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe

Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay

On the Fragility of Active Learners for Text Classification
Abhishek Ghose, Emma Thuong Nguyen

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang

Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval
Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee

M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection
Chia-Wei Tang, Ting-Chih Chen, Alvi Md Ishmam, Kiet A. Nguyen, Kazi Sajeed Mehrab, Chris Thomas

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang

SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation
Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu

CELLO: Causal Evaluation of Large Vision-Language Models
Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu

Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, Taro Watanabe

Training-free Deep Concept Injection Enables Language Models for Video Question Answering
Xudong Lin, Manling Li, Richard Zemel, Heng Ji, Shih-Fu Chang

MIBench: Evaluating Multimodal Large Language Models over Multiple Images
Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu

ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering
Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli

ABLE: Personalized Disability Support with Politeness and Empathy Integration
Kshitij Mishra, Manisha Burja, Asif Ekbal

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo

Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, seung-won hwang, Jinyoung Yeo

Improving Minimum Bayes Risk Decoding with Multi-Prompt
David Heineman, Yao Dou, Wei Xu

Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework
gopendra Vikram singh, Sai Vardhan Vemulapalli, Mauajama Firdaus, Asif Ekbal

Nearest Neighbor Normalization Improves Multimodal Retrieval
Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush

Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning
Shengguang Wu, Shusheng Yang, Zhenglun Chen, Qi Su

LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang

Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
Yuxuan Guo, Zhiliang Tian, YIPING SONG, Tianlun Liu, Liang Ding, Dongsheng Li

Knowledge Graph Enhanced Large Language Model Editing
Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen

Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews
Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal

Mitigating Open-Vocabulary Caption Hallucinations
Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor

Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
Kosuke Nishida, Kyosuke Nishida, Kuniko Saito

ALVIN: Active Learning Via INterpolation
Michalis Korakakis, Andreas Vlachos

Filtered Direct Preference Optimization
Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu

Instruction Fine-Tuning: Does Prompt Loss Matter?
Mathew Huerta-Enochian, Seung Yong Ko

Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West