EMNLP 2024 — accepted papers
EMNLP 2024 is the 2024 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Miami, United States, 12–16 November 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 1,447 papers of it in 4 tracks; our library holds 35 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Tracks
Main1,268Industry Track121System Demonstrations52Tutorial Abstracts6
Awards
- Are Large Language Models Capable of Generating Human-Level Narratives?Yufei Tian, Tenghao Huang, Miri Liu et al. · 🏆 Outstanding Paper Award30 citations
- When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource LanguagesTyler A. Chang, Catherine Arnett, Zhuowen Tu et al. · 🏆 Outstanding Paper Award24 citations · our summary
- Towards Robust Speech Representation Learning for Thousands of LanguagesWilliam Chen, Wangyou Zhang, Yifan Peng et al. · 🏆 Best Paper Award20 citations
- A User-Centric Multi-Intent Benchmark for Evaluating Large Language ModelsJiayin Wang, Fengran Mo, Weizhi Ma et al. · 🏆 Resource Paper Award17 citations
- Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsKanishka Misra, Kyle Mahowald · 🏆 Outstanding Paper Award17 citations
- The Zeno's Paradox of `Low-Resource' LanguagesHellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman et al. · 🏆 Outstanding Paper Award14 citations
- Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem ProvingXin Quan, Marco Valentino, Louise A. Dennis et al. · 🏆 Outstanding Paper Award13 citations
- Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge GraphsSimone Conia, Daniel Lee, Min Li et al. · 🏆 Outstanding Paper Award12 citations
- Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support SettingMaxime Kayser, Bayar Menzat, Cornelius Emde et al. · 🏆 Outstanding Paper Award11 citations
- KidLM: Advancing Language Models for Children – Early Insights and Future DirectionsMir Tafseer Nayeem, Davood Rafiei · 🏆 Resource Paper Award11 citations
- GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity TheoryWei Fan, Haoran Li, Zheye Deng et al. · 🏆 Outstanding Paper Award10 citations
- Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse RetrievalYifan Qiao, Parker Carlson, Shanxiu He et al. · 🏆 Outstanding Paper Award10 citations
- sign.mt: Real-Time Multilingual Sign Language Translation ApplicationAmit Moryossef · System Demonstrations · 🏆 Outstanding Demo Paper Award9 citations
- An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevanceSimran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song et al. · 🏆 Best Paper Award8 citations
- Pretraining Data Detection for Large Language Models: A Divergence-based Calibration MethodWeichao Zhang, Ruqing Zhang, Jiafeng Guo et al. · 🏆 Best Paper Award8 citations
- Finding Blind Spots in Evaluator LLMs with Interpretable ChecklistsSumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma et al. · 🏆 Outstanding Paper Award7 citations
- Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language ModelsSander Land, Max Bartolo · 🏆 Outstanding Paper Award7 citations
- Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance GapsGiuseppe Attanasio, Beatrice Savoldi, Dennis Fucci et al. · 🏆 Social Impact Paper Award6 citations
- Backward Lens: Projecting Language Model Gradients into the Vocabulary SpaceShahar Katz, Yonatan Belinkov, Mor Geva et al. · 🏆 Best Paper Award5 citations
- Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMsAlexander Spangher, Nanyun Peng, Sebastian Gehrmann et al. · 🏆 Outstanding Paper Award4 citations
- OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational AgentsQiang Sun, Yuanyi Luo, Sirui Li et al. · System Demonstrations · 🏆 Best Demo Paper Award4 citations
- SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research RepositoriesBen Bogin, Kejuan Yang, Shashank Gupta et al. · 🏆 Outstanding Paper Award4 citations
- CoGen: Learning from Feedback with Coupled Comprehension and GenerationMustafa Omer Gul, Yoav Artzi · 🏆 Best Paper Award2 citations
- Learning to Retrieve Iteratively for In-Context LearningYunmo Chen, Tongfei Chen, Harsh Jhamtani et al. · 🏆 Outstanding Paper Award2 citations
- Measuring Psychological Depth in Language ModelsFabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla et al. · 🏆 Outstanding Paper Award2 citations
- OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM AssistantsJaspreet Ranjit, Brihi Joshi, Rebecca Dorn et al. · 🏆 Outstanding Paper Award2 citations
- Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting KnowledgeJiahuan Li, Yiqing Cao, Shujian Huang et al. · 🏆 Outstanding Paper Award1 citation
- Learning Planning-based Reasoning by Trajectories Collection and Process Reward SynthesizingFangkai Jiao, Chengwei Qin, Zhengyuan Liu et al. · 🏆 Outstanding Paper Award1 citation
- What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered StudyBeatrice Savoldi, Sara Papi, Matteo Negri et al. · 🏆 Social Impact Paper Award1 citation
- Which questions should I answer? Salience Prediction of Inquisitive QuestionsYating Wu, Ritika Mangla, Alexandros G. Dimakis et al. · 🏆 Outstanding Paper Award1 citation
- DEM: Distribution Edited Model for Training with Mixed Data DistributionsDhananjay Ram, Aditya Rawal, Momchil Hardalov et al. · 🏆 Special Theme Paper Award
- STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive ProgressionsRobert Morabito, Sangmitra Madhusudan, Tyler McDonald et al. · 🏆 Social Impact Paper Award
- Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image GenerationRaphael Tang, Crystina Zhang, Lixinyu Xu et al. · 🏆 Outstanding Paper Award
Most cited papers
- A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai et al.632 citations
- Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu et al.424 citations · our summary
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao et al.309 citations · our summary
- Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang et al.169 citations · our summary
- Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsOded Ovadia, Menachem Brief, Moshik Mishaeli et al.137 citations · our summary
- Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionBowen Zhang, Harold Soh124 citations
- ORPO: Monolithic Preference Optimization without Reference ModelJiwoo Hong, Noah Lee, James Thorne111 citations
- Searching for Best Practices in Retrieval-Augmented GenerationXiaohua Wang, Zhenghua Wang, Xuan Gao et al.111 citations
- mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long et al. · Industry Track100 citations · our summary
- LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu et al.90 citations
All accepted papers (1,447)
- A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai et al.632 citations
- Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu et al.424 citations · our summary
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao et al.309 citations · our summary
- Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang et al.169 citations · our summary
- Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsOded Ovadia, Menachem Brief, Moshik Mishaeli et al.137 citations · our summary
- Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionBowen Zhang, Harold Soh124 citations
- ORPO: Monolithic Preference Optimization without Reference ModelJiwoo Hong, Noah Lee, James Thorne111 citations
- Searching for Best Practices in Retrieval-Augmented GenerationXiaohua Wang, Zhenghua Wang, Xuan Gao et al.111 citations
- mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long et al. · Industry Track100 citations · our summary
- LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu et al.90 citations
- Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?Zorik Gekhman, Gal Yona, Roee Aharoni et al.84 citations
- Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo et al.81 citations · our summary
- Towards Injecting Medical Visual Knowledge into Multimodal LLMs at ScaleJunying Chen, Chi Gui, Ruyi Ouyang et al.74 citations
- Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation ModelsYae Jee Cho, Luyang Liu, Zheng Xu et al.73 citations
- Dense X Retrieval: What Retrieval Granularity Should We Use?Tong Chen, Hongwei Wang, Sihao Chen et al.72 citations · our summary
- Humans or LLMs as the Judge? A Study on Judgement BiasGuiming Hardy Chen, Shunian Chen, Ziche Liu et al.70 citations · our summary
- RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsPeng Xia, Kangyu Zhu, Haoran Li et al.65 citations
- A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsMd Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari et al.64 citations
- LLM4Decompile: Decompiling Binary Code with Large Language ModelsHanzhuo Tan, Qi Luo, Jing Li et al.62 citations
- Linguistic Bias in ChatGPT: Language Models Reinforce Dialect DiscriminationEve Fleisig, Genevieve Smith, Madeline Bossi et al.59 citations
- Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to PrinciplesRyan Louie, Ananjan Nandi, William Fang et al.59 citations
- A Simple LLM Framework for Long-Range Video Question-AnsweringCe Zhang, Taixi Lu, Md Mohaiminul Islam et al.58 citations
- Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai et al. · Industry Track55 citations
- Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsSeungone Kim, Juyoung Suk, Shayne Longpre et al.55 citations
- Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsWenhao Yu, Hongming Zhang, Xiaoman Pan et al.52 citations · our summary
See all 1,447 papers in EMNLP 2024 — accepted papers →
Papers with our summary in our library (35)
- Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
- mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 236 citations
- Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsOded Ovadia, Menachem Brief, Moshik Mishaeli, et al.2024 · 206 citations
- Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
- MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
- Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsWenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
- Dense X Retrieval: What Retrieval Granularity Should We Use?Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
- Humans or LLMs as the Judge? A Study on Judgement BiasGuiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 131 citations
- EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesYuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 131 citations
- Towards Measuring and Modeling “Culture” in LLMs: A SurveyMuhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.2024 · 102 citations
- Moral Foundations of Large Language ModelsMarwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.2024 · 94 citations
- Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsKrista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 89 citations
- When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource LanguagesTyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.2024 · 85 citations
- Benchmarking Vision Language Models for Cultural UnderstandingShravan Nayak, Kanishk Jain, Rabiul Awal, et al.2024 · 85 citations
- Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentVyas Raina, Adian Liusie, Mark Gales2024 · 85 citations
- LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingTong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
- Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningZhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.2024 · 83 citations
- Mitigating the Alignment Tax of RLHFYong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 82 citations
- Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsHongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
- Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention MapsYung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.2024 · 76 citations
- LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingJiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
- Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAMinzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 71 citations
- Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueJia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 66 citations
- MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsWai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 66 citations
- Tokenization Is More Than CompressionCraig W Schmidt, Varshini Reddy, Haoran Zhang, et al.2024 · 66 citations
See all 35 works in EMNLP 2024 — accepted papers →
Top topics
Language models & pretraining (19) Information retrieval & search (5) Machine translation (3) Evaluation & benchmarks (3) Multilingual & cross-lingual NLP (2) Low-resource languages (2) Psycholinguistics & language acquisition (2) Tokenization & segmentation (2) English (2) Discourse analysis (1) Coreference resolution (1) Dependency parsing (1) Universal Dependencies (1) Question answering (1) Text generation (1)
2 more topics
Fields
Arts and Humanities (35) Computer Science (34) Social Sciences (4) Neuroscience (2) Psychology (1)
Top authors
Top institutions
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