EMNLP 2024

2,910 papers

Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering

Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu

An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification

Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian

Evaluating Psychological Safety of Large Language Models

Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing

DA3: A Distribution-Aware Adversarial Attack against Language Models

Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners

Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen

HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding

Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li

Retrieved Sequence Augmentation for Protein Representation Learning

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li

Event Causality Identification with Synthetic Control

Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson

MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic

Yuyan Zhou, Liang Song, Bingning Wang, Weipeng Chen

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

Rethinking Token Reduction for State Space Models

Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong

MatchTime: Towards Automatic Soccer Game Commentary Generation

Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation

Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang

Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement

Yuxuan Wang, Xiaoyuan Liu

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models

Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang

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

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation

Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi

Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement

Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang

Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin

MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering

Zhengxuan Zhang, Yin Wu, Yuyu Luo, Nan Tang

Tracking the perspectives of interacting language models

Hayden Helm, Brandon Duderstadt, Youngser Park, Carey Priebe

UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation

Xiangyu Zhao, Yuehan Zhang, Wenlong Zhang, Xiao-ming Wu

Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors

Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang

Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network

Haoran Li, Qiang Gao, Hongmei Wu, Li Huang

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation

Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu 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

DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models

Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou

Towards Tool Use Alignment of Large Language Models

Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen

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

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao

Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment

Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami

Model Balancing Helps Low-data Training and Fine-tuning

Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren

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

QUDSELECT: Selective Decoding for Questions Under Discussion Parsing

Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander T Toshev

Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process

Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation

Chenlong Deng, Kelong Mao, Zhicheng Dou

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments

Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval

Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu

AgentReview: Exploring Peer Review Dynamics with LLM Agents

Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu

LLMs Are Zero-Shot Context-Aware Simultaneous Translators

Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura

Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization

Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee

EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models

Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen

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

DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing

Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu

A Survey on In-context Learning

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma

CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading

Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li

Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval

Tianyi Hu, Maria Maistro, Daniel Hershcovich

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence

Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He

HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs

Jocelyn Shen, Joel Mire, Hae Won Park, Cynthia Breazeal, Maarten Sap

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering

Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang

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

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

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models

Hongyuan Lu, Haoran Yang, Haoyang Huang, Dongdong Zhang, Wai Lam

Large Language Models for Data Annotation and Synthesis: A Survey

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Kanishka Misra, Kyle Mahowald

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

In-context Contrastive Learning for Event Causality Identification

Liang Chao, Wei Xiang, Bang Wang

Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification

Dongjun Lim, Yun-Gyung Cheong

Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue

Xianlong Luo, Meng Yang, Yihao Wang

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences

Xiangyang Liu, Junliang He, Xipeng Qiu

LongEmbed: Extending Embedding Models for Long Context Retrieval

Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu

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

DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities

Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song

Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu

Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections

Lingjun Zhao, Nguyen X. Khanh, Hal Daume III

FLIRT: Feedback Loop In-context Red Teaming

Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh

Tokenization Is More Than Compression

Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan

CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds

Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang

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

Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems

Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen

Evaluating Readability and Faithfulness of Concept-based Explanations

Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian

Mitigating the Alignment Tax of RLHF

Yong Lin, Hangyu Lin, Wei Xiong, SHIZHE DIAO, Jianmeng Liu

A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers

Valentin Barriere, Sebastian Cifuentes

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection

Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan

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

On Fake News Detection with LLM Enhanced Semantics Mining

Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu

EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models

Maureen de Seyssel, Antony D’Avirro, Adina Williams, Emmanuel Dupoux

On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models

Abhilasha Sancheti, Haozhe An, Rachel Rudinger

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation

Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao

Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation

Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray

Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation

Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing

Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang

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

An Experimental Analysis on Evaluating Patent Citations

Rabindra Nath Nandi, Suman Kalyan Maity, Brian Uzzi, Sourav Medya

“We Demand Justice!”: Towards Social Context Grounding of Political Texts

Rajkumar Pujari, Chengfei Wu, Dan Goldwasser

Scaling Properties of Speech Language Models

Santiago Cuervo, Ricard Marxer

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing

Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty

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

Uncertainty in Language Models: Assessment through Rank-Calibration

Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani

Studying and Mitigating Biases in Sign Language Understanding Models

Katherine Atwell, Danielle Bragg, Malihe Alikhani

Systematic Biases in LLM Simulations of Debates

Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha

A Usage-centric Take on Intent Understanding in E-Commerce

Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan

“Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models

Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid

NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning

Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky

Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze

Özge Alaçam, Sanne Hoeken, Sina Zarrieß