EMNLP 2024

2,910 papers

WorryWords: Norms of Anxiety Association for over 44k English Words

Saif M. Mohammad

Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification

He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin

Distract Large Language Models for Automatic Jailbreak Attack

Zeguan Xiao, yan yang, Guanhua Chen, Yun Chen

IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method

Mihyeon Kim, Juhyoung Park, YoungBin Kim

On the Robustness of Editing Large Language Models

Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao

Rationale-Aware Answer Verification by Pairwise Self-Evaluation

Akira Kawabata, Saku Sugawara

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs

Tianyang Han, Qing LIAN, Rui Pan, Renjie Pi, Jipeng Zhang

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models

Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan

Free your mouse! Command Large Language Models to Generate Code to Format Word Documents

Shihao Rao, Liang Li, Jiapeng Liu, Guan Weixin, Xiyan Gao

TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs

Peiwen Jiang, Xinbo Lin, Zibo Zhao, Ruhui Ma, Yvonne Jie Chen

Defining Knowledge: Bridging Epistemology and Large Language Models

Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard

CorrSynth - A Correlated Sampling Method for Diverse Dataset Generation from LLMs

Suhas S Kowshik, Abhishek Divekar, Vijit Malik

VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models

Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, LianWen Jin

InfiniPot: Infinite Context Processing on Memory-Constrained LLMs

Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges

Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu

MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance

Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi Xie, Rui Pan

FAME: Towards Factual Multi-Task Model Editing

Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo

Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning

Sam Spilsbury, Pekka Marttinen, Alexander Ilin

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging

Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability

Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training

Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong

Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators

Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty

A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives

Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann

Temporally Consistent Factuality Probing for Large Language Models

Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty

Hate Personified: Investigating the role of LLMs in content moderation

Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty

Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features

Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu

Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting

Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models

Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang

Towards Measuring and Modeling “Culture” in LLMs: A Survey

Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji

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

SciAgent: Tool-augmented Language Models for Scientific Reasoning

Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang

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

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

BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting

Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu

Revisiting Supervised Contrastive Learning for Microblog Classification

Junbo Huang, Ricardo Usbeck

Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation

Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu

Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations

Jiyi Li

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

Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis

Qingcheng Zeng, Mingyu Jin, Rob Voigt

Re-Reading Improves Reasoning in Large Language Models

Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding

Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng

Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing

Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak

DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging

Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen

DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding

Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I Morariu

CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models

Eitan Wagner, Yuli Slavutsky, Omri Abend

Exploring the Learning Capabilities of Language Models using LEVERWORLDS

Eitan Wagner, Amir Feder, Omri Abend

FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension

Junzhuo Liu, Xuzheng Yang, Weiwei Li, Peng Wang

SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework

Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan

Effective Synthetic Data and Test-Time Adaptation for OCR Correction

Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene

Re-ReST: Reflection-Reinforced Self-Training for Language Agents

Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level

Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?

Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried

AudioVSR: Enhancing Video Speech Recognition with Audio Data

Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment

Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen

AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction

Hongru Wang, Rui Wang, Boyang Xue, Heming Xia, Jingtao Cao

Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning

Panuthep Tasawong, Peerat Limkonchotiwat, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich

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

RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts

Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning

Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang

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

Control Large Language Models via Divide and Conquer

Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng

Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach

Zihao Xiao, Jiefu Gong, Shijin Wang, Wei Song

XDetox: Text Detoxification with Token-Level Toxicity Explanations

Beomseok Lee, Hyunwoo Kim, Keon Kim, Yong Suk Choi

Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models

Zheng Zhao, Yftah Ziser, Shay B Cohen

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach

Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen

Dense X Retrieval: What Retrieval Granularity Should We Use?

Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma

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

AKEW: Assessing Knowledge Editing in the Wild

Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu

LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law

Toni J.b. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls

Open-world Multi-label Text Classification with Extremely Weak Supervision

Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu

LitSearch: A Retrieval Benchmark for Scientific Literature Search

Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

Learning to Rank Salient Content for Query-focused Summarization

Sajad Sotudeh, Nazli Goharian

HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning

Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Erica M Salinas

RaTEScore: A Metric for Radiology Report Generation

Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang

GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients

Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith

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

ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities

Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim

MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion

Qingyang Li, Yanru Zhong, Yuchu Qin

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers

Viktoriia A. Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko

Unsupervised Named Entity Disambiguation for Low Resource Domains

Debarghya Datta, Soumajit Pramanik

Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation

Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky

Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training

Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu

A Closer Look at Multidimensional Online Political Incivility

Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov

Commonsense Knowledge Editing Based on Free-Text in LLMs

Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu

RepMatch: Quantifying Cross-Instance Similarities in Representation Space

Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar

Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks

Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva

Bridging Local Details and Global Context in Text-Attributed Graphs

Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Yunfei Li

A Probability–Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors

Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin

VHASR: A Multimodal Speech Recognition System With Vision Hotwords

Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs

Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu

Extracting Prompts by Inverting LLM Outputs

Collin Zhang, John Xavier Morris, Vitaly Shmatikov

FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents

Yilun Zhao, Yitao Long, Tintin Jiang, Chengye Wang, Weiyuan Chen

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu

Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems

Italo Luis Da Silva, Hanqi Yan, Lin Gui, Yulan He

Revisiting Automated Evaluation for Long-form Table Question Answering

Yuqi Wang, Lyuhao Chen, Songcheng Cai, Zhijian Xu, Yilun Zhao

DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models

Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang

Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Wenhao Yu, Hongming Zhang, Xiaoman Pan, Peixin Cao, Kaixin Ma

Social Bias Probing: Fairness Benchmarking for Language Models

Marta Marchiori Manerba, Karolina Stańczak, Riccardo Guidotti, Isabelle Augenstein

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