EMNLP 2024

2,910 papers

WavLLM: Towards Robust and Adaptive Speech Large Language Model

Shujie Hu, Long Zhou, Shujie LIU, Sanyuan Chen, Lingwei Meng

Reference-free Hallucination Detection for Large Vision-Language Models

Qing Li, Jiahui Geng, Chenyang Lyu, Derui Zhu, Maxim Panov

RoQLlama: A Lightweight Romanian Adapted Language Model

George-Andrei Dima, Andrei-Marius Avram, Cristian-George Craciun, Dumitru-Clementin Cercel

SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully

Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin

Leveraging Grammar Induction for Language Understanding and Generation

Jushi Kai, Shengyuan Hou, Yusheng Huang, Zhouhan Lin

BookWorm: A Dataset for Character Description and Analysis

Argyrios Papoudakis, Mirella Lapata, Frank Keller

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification

Sudipta Singha Roy, Xindi Wang, Robert Mercer, Frank Rudzicz

OEE-CFC: A Dataset for Open Event Extraction from Chinese Financial Commentary

Qizhi Wan, Changxuan Wan, Rong Hu, Dexi Liu, Xu Wenwu

Quantifying Generative Media Bias with a Corpus of Real-world and Generated News Articles

Filip Trhlík, Pontus Stenetorp

Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models

Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov

ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context

Zirui Wu, Yansong Feng

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models

Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Susanna Paoli, Alba Cercas Curry, Dirk Hovy

M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks

Florian Schneider, Sunayana Sitaram

Revisiting Catastrophic Forgetting in Large Language Model Tuning

Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao

Revisiting Query Variation Robustness of Transformer Models

Tim Hagen, Harrisen Scells, Martin Potthast

Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations

Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua

PyramidCodec: Hierarchical Codec for Long-form Music Generation in Audio Domain

Jianyi Chen, Zheqi Dai, Zhen Ye, Xu Tan, Qifeng Liu

A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect

Lingyun Song, Chengkun Yang, Xuanyu Li, Xuequn Shang

NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding

Chunkit Chan, Cheng Jiayang, Yauwai Yim, Zheye Deng, Wei Fan

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models

Jiahuan Cao, Dezhi Peng, Peirong Zhang, Yongxin Shi, Yang Liu

Inference-Time Language Model Alignment via Integrated Value Guidance

Zhixuan Liu, Zhanhui Zhou, Yuanfu Wang, Chao Yang, Yu Qiao

Emosical: An Emotion-Annotated Musical Theatre Dataset

Hayoon Kim, Ahyeon Choi, Sungho Lee, Hyun Jin Jung, Kyogu Lee

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization

Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning

Qingyu Yin, Xuzheng He, Chak Tou Leong, Fan Wang, Yanzhao Yan

Self-Evolution Fine-Tuning for Policy Optimization

Ruijun Chen, Jiehao Liang, Shiping Gao, Fanqi Wan, Xiaojun Quan

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs

Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing

Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference

Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu

Reward Modeling Requires Automatic Adjustment Based on Data Quality

Binghai Wang, Rui Zheng, Lu Chen, Zhiheng Xi, Wei Shen

Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens

Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei

mABC: Multi-Agent Blockchain-inspired Collaboration for Root Cause Analysis in Micro-Services Architecture

Wei Zhang, Hongcheng Guo, Jian Yang, Zhoujin Tian, Yi Zhang

Guided Profile Generation Improves Personalization with Large Language Models

Jiarui Zhang

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models

Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong

Bi-DCSpell: A Bi-directional Detector-Corrector Interactive Framework for Chinese Spelling Check

Haiming Wu, Hanqing Zhang, Richeng Xuan, Dawei Song

Enhancing Arguments Recognition for Financial Mathematical Reasoning over Hybrid Data

Jinsu Lim, Yechan Hwang, Young-jun Lee, Ho-Jin Choi

UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs

Yuho Lee, Taewon Yun, Jason Cai, Hang Su, Hwanjun Song

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware

Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou

LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization

Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Genta Indra Winata, Ayu Purwarianti, Alham Fikri Aji

Unleashing the Potential of Large Language Models through Spectral Modulation

peng sun, Yao Zhu, Yunjian Zhang, Xiu Yan, Zizhe Wang

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang

Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition

Geng Tu, Jun Wang, Zhenyu Li, Shiwei Chen, Bin Liang

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models

Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Li Yuan

Enhancing Incremental Summarization with Structured Representations

EunJeong Hwang, Yichao Zhou, James Bradley Wendt, Beliz Gunel, Nguyen Vo

When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context

Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T Morrison

Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia

Zhejian Zhou, Jiayu Wang, Dahua Lin, Kai Chen

Sanitizing Large Language Models in Bug Detection with Data-Flow

Chengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, Xiangyu Zhang

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension

Xingyu Lu, He CAO, Zijing Liu, Shengyuan Bai, Leqing Chen

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification

Anisha Gunjal, Greg Durrett

Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases

Santosh T.y.s.s, Mohamed Hesham Elganayni, Stanisław Sójka, Matthias Grabmair

Self-contradictory reasoning evaluation and detection

Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Rahul Gupta

Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning

Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy

Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model

Sheng Cheng, Maitreya Patel, Yezhou Yang

SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization

Ge Luo, Weisi Fan, Miaoran Li, Guoruizhe Sun, Runlong Zhang

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration

Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu

The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases

Santosh T.y.s.s, Irtiza Chowdhury, Shanshan Xu, Matthias Grabmair

TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning

Joshua Feinglass, Yezhou Yang

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu

Zero-Resource Hallucination Prevention for Large Language Models

Junyu Luo, Cao Xiao, Fenglong Ma

NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

Md Mahadi Hasan Nahid, Davood Rafiei

Enhancing Agent Learning through World Dynamics Modeling

Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan

Language Models Still Struggle to Zero-shot Reason about Time Series

Mike A Merrill, Mingtian Tan, Vinayak Gupta, Thomas Hartvigsen, Tim Althoff

EDEN: Empathetic Dialogues for English Learning

Li Siyan, Teresa Shao, Zhou Yu, Julia Hirschberg

Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation

Preni Golazizian, Alireza Salkhordeh Ziabari, Ali Omrani, Morteza Dehghani

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning

Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations

Bingbing Wen, Bill Howe, Lucy Lu Wang

GE2PE: Persian End-to-End Grapheme-to-Phoneme Conversion

Elnaz Rahmati, Hossein Sameti

Data Diversity Matters for Robust Instruction Tuning

Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin

Divide and Conquer: Legal Concept-guided Criminal Court View Generation

Qi Xu, Xiao Wei, Hang Yu, Qian Liu, Hao Fei

Revealing COVID-19’s Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter

Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Wang, jie Yang

HoneyComb: A Flexible LLM-Based Agent System for Materials Science

Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu

Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning

Mohammed Saidul Islam, Raian Rahman, Ahmed Masry, Md Tahmid Rahman Laskar, Mir Tafseer Nayeem

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation

Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang

Modeling News Interactions and Influence for Financial Market Prediction

Mengyu Wang, Shay B Cohen, Tiejun Ma

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming

Rui Li, Peiyi Wang, Jingyuan Ma, Di Zhang, Lei Sha

Tending Towards Stability: Convergence Challenges in Small Language Models

Richard Diehl Martinez, Pietro Lesci, Paula Buttery

A Psycholinguistic Evaluation of Language Models’ Sensitivity to Argument Roles

Eun-Kyoung Rosa Lee, Sathvik Nair, Naomi Feldman

Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation

Huangyu Dai, Ben Chen, Kaidi Chen, Ying Han, Zihan Liang

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

Ze Wang, Zekun Wu, Xin Guan, Michael Thaler, Adriano Koshiyama

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding

Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu

Exploring the Relationship between In-Context Learning and Instruction Tuning

Hanyu Duan, Yixuan Tang, Yi Yang, Ahmed Abbasi, Kar Yan Tam

Scaling Sentence Embeddings with Large Language Models

Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang

Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition

Wei Chen, Lili Zhao, Zhi Zheng, Tong Xu, Yang Wang

BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks

Hang Zeng, Chaoyue Niu, Fan Wu, Shaojie Tang, Leihao Pei

Large Language Models are Limited in Out-of-Context Knowledge Reasoning

Peng Hu, Changjiang Gao, Ruiqi Gao, Jiajun Chen, Shujian Huang

LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation

Yinqiao Li, Linqi Song, Hanxu Hou

Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering

Yuanxing Xu, Yuting Wei, Shuai Zhong, Xinming Chen, Jinsheng Qi

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding

Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang

Recent Trends in Linear Text Segmentation: A Survey

Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver

Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling

Matúš Pikuliak, Stefan Oresko, Andrea Hrckova, Marian Simko

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models

Jiaming Li, Lei Zhang, Yunshui Li, Ziqiang Liu, Yuelin Bai

Self-Renewal Prompt Optimizing with Implicit Reasoning

Zihan Liang, Ben Chen, Zhuoran Ran, Zihan Wang, Huangyu Dai

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble

Yujeong Lee, Sangwoo Shin, Wei-jin Park, Honguk Woo

Evaluating Automatic Metrics with Incremental Machine Translation Systems

Guojun Wu, Shay B Cohen, Rico Sennrich

Learning Dynamic Multi-attribute Interest for Personalized Product Search

Yutong Bai, Zhicheng Dou, Ji-Rong Wen

A Notion of Complexity for Theory of Mind via Discrete World Models

X. Angelo Huang, Emanuele La Malfa, Samuele Marro, Andrea Asperti, Anthony G. Cohn

Are modern neural ASR architectures robust for polysynthetic languages?

Eric Le Ferrand, Zoey Liu, Antti Arppe, Emily Prud’hommeaux

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training

Xinyan Chen, Jiaxin Ge, Tianjun Zhang, Jiaming Liu, Shanghang Zhang

On the Empirical Complexity of Reasoning and Planning in LLMs

Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee