EMNLP 2024

2,910 papers

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang

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, Katie Shilton

A Generic Method for Fine-grained Category Discovery in Natural Language Texts

Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue

D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection

Yifan Chen, Kuntao Li, Weixing Mai, Qiaofeng Wu, Yun Xue

MTLS: Making Texts into Linguistic Symbols

Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li

CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering

Yike Wu, Yi Huang, Nan Hu, Yuncheng Hua, Guilin Qi

From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning

Jihao Gu, Zelin Wang, Yibo Zhang, Ziji Zhang, Ping Gong

LLM4Decompile: Decompiling Binary Code with Large Language Models

Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang

Leading Whitespaces of Language Models’ Subword Vocabulary Pose a Confound for Calculating Word Probabilities

Byung-Doh Oh, William Schuler

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

Unsupervised Human Preference Learning

Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani Tur

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering

Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu

Fine-Grained Prediction of Reading Comprehension from Eye Movements

Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak

QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models

Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang

Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature

Ali Al-Laith, Daniel Hershcovich, Jens Bjerring-Hansen, Jakob Ingemann Parby, Alexander Conroy

GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song

Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models

Kushal Tatariya, Vladimir Araujo, Thomas Bauwens, Miryam de Lhoneux

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis

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

Neuron-Level Knowledge Attribution in Large Language Models

Zeping Yu, Sophia Ananiadou

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models

Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang

Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence

Yaxin Fan, Peifeng Li, Qiaoming Zhu

Word Alignment as Preference for Machine Translation

Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka

ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws

Ruihang Li, Yixuan Wei, Miaosen Zhang, Nenghai Yu, Han Hu

Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages

Seonjeong Hwang, Yunsu Kim, Gary Lee

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models

Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu

Understanding “Democratization” in NLP and ML Research

Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat

On Training Data Influence of GPT Models

Yekun Chai, Qingyi Liu, Shuohuan Wang, Yu Sun, Qiwei Peng

Autoregressive Pre-Training on Pixels and Texts

Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP

Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva

BC-Prover: Backward Chaining Prover for Formal Theorem Proving

Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang

On the Role of Context in Reading Time Prediction

Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation

Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen

CUTE: Measuring LLMs’ Understanding of Their Tokens

Lukas Edman, Helmut Schmid, Alexander Fraser

Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection

Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson

How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics

Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea

The Accuracy Paradox in RLHF: When Better Reward Models Don’t Yield Better Language Models

Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang

Calibrating the Confidence of Large Language Models by Eliciting Fidelity

Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving

Xin Quan, Marco Valentino, Louise A. Dennis, Andre Freitas

Evaluating D-MERIT of Partial-annotation on Information Retrieval

Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection

Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen

Understanding Higher-Order Correlations Among Semantic Components in Embeddings

Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira

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

With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models

Tyler Loakman, Yucheng Li, Chenghua Lin

Evaluating Large Language Models via Linguistic Profiling

Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi

MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction

Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu

Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions

Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei 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

Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification

Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning

Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment

Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen

Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?

Gregor Geigle, Radu Timofte, Goran Glavaš

An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making

Xiutian Zhao, Ke Wang, Wei Peng

ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings

Hao Wang, Hao Li, Minlie Huang, Lei Sha

To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models

Bastien Lietard, Pascal Denis, Mikaela Keller

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models

Hongbang Yuan, Pengfei Cao, Zhuoran jin, Yubo Chen, Daojian Zeng

African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification

Gregor Geigle, Radu Timofte, Goran Glavaš

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios

Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich

Knowledge Verification to Nip Hallucination in the Bud

Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi

Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese

Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari

Collaborative Performance Prediction for Large Language Models

Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma

LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models

Renzhi Wang, Piji Li

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?

Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler

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

Reusing Transferable Weight Increments for Low-resource Style Generation

Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao

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

Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding

Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space

Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation

Wenhao Huang, Zhouhong Gu, Chenghao Peng, Jiaqing Liang, Zhixu Li

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

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models

Leonardo Ranaldi, Andre Freitas

Direct Multi-Turn Preference Optimization for Language Agents

Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng

VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values

Zhe Hu, Yixiao Ren, Jing Li, Yu Yin

Towards Low-Resource Harmful Meme Detection with LMM Agents

Jianzhao Huang, Hongzhan Lin, Liu Ziyan, Ziyang Luo, Guang Chen

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search

Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen

Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization

Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee

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

Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm

Michael Wiegand, Josef Ruppenhofer

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

FuseGen: PLM Fusion for Data-generation based Zero-shot Learning

Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu

Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training

Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin

LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models

Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni

An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference

Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye

Advancing Process Verification for Large Language Models via Tree-Based Preference Learning

Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu

Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models

YongJin Yang, Jongwoo Ko, Se-Young Yun

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models

Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang

Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information

Runze Xia, Congchi Yin, Piji Li

GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models

Xuanchang Zhang, Zhuosheng Zhang, Hai Zhao

Tag-grounded Visual Instruction Tuning with Retrieval Augmentation

Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li

Aligning Language Models to Explicitly Handle Ambiguity

Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park

Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support

Junlin Li, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang

TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control

Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection

Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu

CMD: a framework for Context-aware Model self-Detoxification

Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang

Enhancing Advanced Visual Reasoning Ability of Large Language Models

Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese

Caiqi Zhang, Zhijiang Guo, Andreas Vlachos

TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging

Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu

PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation

Libo Zhao, Jing Li, Ziqian Zeng