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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.

 1,447papers in the proceedings 35works in our library 3,012citations of these works Miami, United Stateswhere it was held 12–16 November 2024when

Tracks

Main1,268Industry Track121System Demonstrations52Tutorial Abstracts6

Awards

As the ACL Anthology records them.

  1. Are Large Language Models Capable of Generating Human-Level Narratives?Yufei Tian, Tenghao Huang, Miri Liu et al. · 🏆 Outstanding Paper Award30 citations
  2. 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
  3. Towards Robust Speech Representation Learning for Thousands of LanguagesWilliam Chen, Wangyou Zhang, Yifan Peng et al. · 🏆 Best Paper Award20 citations
  4. A User-Centric Multi-Intent Benchmark for Evaluating Large Language ModelsJiayin Wang, Fengran Mo, Weizhi Ma et al. · 🏆 Resource Paper Award17 citations
  5. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsKanishka Misra, Kyle Mahowald · 🏆 Outstanding Paper Award17 citations
  6. The Zeno's Paradox of `Low-Resource' LanguagesHellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman et al. · 🏆 Outstanding Paper Award14 citations
  7. Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem ProvingXin Quan, Marco Valentino, Louise A. Dennis et al. · 🏆 Outstanding Paper Award13 citations
  8. Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge GraphsSimone Conia, Daniel Lee, Min Li et al. · 🏆 Outstanding Paper Award12 citations
  9. 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
  10. KidLM: Advancing Language Models for Children – Early Insights and Future DirectionsMir Tafseer Nayeem, Davood Rafiei · 🏆 Resource Paper Award11 citations
  11. GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity TheoryWei Fan, Haoran Li, Zheye Deng et al. · 🏆 Outstanding Paper Award10 citations
  12. 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
  13. sign.mt: Real-Time Multilingual Sign Language Translation ApplicationAmit Moryossef · System Demonstrations · 🏆 Outstanding Demo Paper Award9 citations
  14. 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
  15. Pretraining Data Detection for Large Language Models: A Divergence-based Calibration MethodWeichao Zhang, Ruqing Zhang, Jiafeng Guo et al. · 🏆 Best Paper Award8 citations
  16. Finding Blind Spots in Evaluator LLMs with Interpretable ChecklistsSumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma et al. · 🏆 Outstanding Paper Award7 citations
  17. Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language ModelsSander Land, Max Bartolo · 🏆 Outstanding Paper Award7 citations
  18. Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance GapsGiuseppe Attanasio, Beatrice Savoldi, Dennis Fucci et al. · 🏆 Social Impact Paper Award6 citations
  19. Backward Lens: Projecting Language Model Gradients into the Vocabulary SpaceShahar Katz, Yonatan Belinkov, Mor Geva et al. · 🏆 Best Paper Award5 citations
  20. 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
  21. 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
  22. SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research RepositoriesBen Bogin, Kejuan Yang, Shashank Gupta et al. · 🏆 Outstanding Paper Award4 citations
  23. CoGen: Learning from Feedback with Coupled Comprehension and GenerationMustafa Omer Gul, Yoav Artzi · 🏆 Best Paper Award2 citations
  24. Learning to Retrieve Iteratively for In-Context LearningYunmo Chen, Tongfei Chen, Harsh Jhamtani et al. · 🏆 Outstanding Paper Award2 citations
  25. Measuring Psychological Depth in Language ModelsFabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla et al. · 🏆 Outstanding Paper Award2 citations
  26. OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM AssistantsJaspreet Ranjit, Brihi Joshi, Rebecca Dorn et al. · 🏆 Outstanding Paper Award2 citations
  27. 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
  28. Learning Planning-based Reasoning by Trajectories Collection and Process Reward SynthesizingFangkai Jiao, Chengwei Qin, Zhengyuan Liu et al. · 🏆 Outstanding Paper Award1 citation
  29. 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
  30. Which questions should I answer? Salience Prediction of Inquisitive QuestionsYating Wu, Ritika Mangla, Alexandros G. Dimakis et al. · 🏆 Outstanding Paper Award1 citation
  31. DEM: Distribution Edited Model for Training with Mixed Data DistributionsDhananjay Ram, Aditya Rawal, Momchil Hardalov et al. · 🏆 Special Theme Paper Award
  32. STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive ProgressionsRobert Morabito, Sangmitra Madhusudan, Tyler McDonald et al. · 🏆 Social Impact Paper Award
  33. 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

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai et al.632 citations
  2. Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu et al.424 citations · our summary
  3. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao et al.309 citations · our summary
  4. Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang et al.169 citations · our summary
  5. Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsOded Ovadia, Menachem Brief, Moshik Mishaeli et al.137 citations · our summary
  6. ORPO: Monolithic Preference Optimization without Reference ModelJiwoo Hong, Noah Lee, James Thorne111 citations
  7. Searching for Best Practices in Retrieval-Augmented GenerationXiaohua Wang, Zhenghua Wang, Xuan Gao et al.111 citations
  8. 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
  9. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu et al.90 citations

All accepted papers (1,447)

The most cited first; 35 with our summary link to their page here, the others to the original.

  1. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai et al.632 citations
  2. Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu et al.424 citations · our summary
  3. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao et al.309 citations · our summary
  4. Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang et al.169 citations · our summary
  5. Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsOded Ovadia, Menachem Brief, Moshik Mishaeli et al.137 citations · our summary
  6. ORPO: Monolithic Preference Optimization without Reference ModelJiwoo Hong, Noah Lee, James Thorne111 citations
  7. Searching for Best Practices in Retrieval-Augmented GenerationXiaohua Wang, Zhenghua Wang, Xuan Gao et al.111 citations
  8. 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
  9. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu et al.90 citations
  10. Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?Zorik Gekhman, Gal Yona, Roee Aharoni et al.84 citations
  11. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo et al.81 citations · our summary
  12. Towards Injecting Medical Visual Knowledge into Multimodal LLMs at ScaleJunying Chen, Chi Gui, Ruyi Ouyang et al.74 citations
  13. Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation ModelsYae Jee Cho, Luyang Liu, Zheng Xu et al.73 citations
  14. Dense X Retrieval: What Retrieval Granularity Should We Use?Tong Chen, Hongwei Wang, Sihao Chen et al.72 citations · our summary
  15. Humans or LLMs as the Judge? A Study on Judgement BiasGuiming Hardy Chen, Shunian Chen, Ziche Liu et al.70 citations · our summary
  16. LLM4Decompile: Decompiling Binary Code with Large Language ModelsHanzhuo Tan, Qi Luo, Jing Li et al.62 citations
  17. Linguistic Bias in ChatGPT: Language Models Reinforce Dialect DiscriminationEve Fleisig, Genevieve Smith, Madeline Bossi et al.59 citations
  18. A Simple LLM Framework for Long-Range Video Question-AnsweringCe Zhang, Taixi Lu, Md Mohaiminul Islam et al.58 citations
  19. 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
  20. 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)

The most cited first (OpenAlex citations plus our library's).

  1. Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
  2. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 236 citations
  3. Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMsOded Ovadia, Menachem Brief, Moshik Mishaeli, et al.2024 · 206 citations
  4. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  5. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
  6. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsWenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
  7. Dense X Retrieval: What Retrieval Granularity Should We Use?Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
  8. Humans or LLMs as the Judge? A Study on Judgement BiasGuiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 131 citations
  9. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesYuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 131 citations
  10. Towards Measuring and Modeling “Culture” in LLMs: A SurveyMuhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.2024 · 102 citations
  11. Moral Foundations of Large Language ModelsMarwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.2024 · 94 citations
  12. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsKrista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 89 citations
  13. 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
  14. Benchmarking Vision Language Models for Cultural UnderstandingShravan Nayak, Kanishk Jain, Rabiul Awal, et al.2024 · 85 citations
  15. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentVyas Raina, Adian Liusie, Mark Gales2024 · 85 citations
  16. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingTong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
  17. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningZhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.2024 · 83 citations
  18. Mitigating the Alignment Tax of RLHFYong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 82 citations
  19. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsHongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
  20. 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
  21. LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingJiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
  22. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAMinzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 71 citations
  23. 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
  24. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsWai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 66 citations
  25. 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

Topics of its works in our library, with the number of works on each.

 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

 Vision & language (1) Efficient models & compression (1)

 Fields

 Arts and Humanities (35) Computer Science (34) Social Sciences (4) Neuroscience (2) Psychology (1)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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