---
title: "EMNLP 2024 — accepted papers — Elamur Research"
description: "EMNLP 2024 — accepted papers: 35 papers in the Elamur Research library (Miami, United States), with our summaries, ranked by citations."
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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.

[**1,447** papers in the proceedings](#all) · [**35** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2024/works/) · [**3,012** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2024/works/)**Miami, United States** where it was held**12–16 November 2024** when

## Tracks

Main 1,268Industry Track 121System Demonstrations 52Tutorial Abstracts 6

## Awards

As the ACL Anthology records them.

1. **[Are Large Language Models Capable of Generating Human-Level Narratives?](https://aclanthology.org/2024.emnlp-main.978/)**Yufei Tian, Tenghao Huang, Miri Liu et al. · 🏆 Outstanding Paper Award*30 citations*
2. **[When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/chang-2024-when-is-multilinguality-curse-language/)**Tyler A. Chang, Catherine Arnett, Zhuowen Tu et al. · 🏆 Outstanding Paper Award*24 citations · our summary*
3. **[Towards Robust Speech Representation Learning for Thousands of Languages](https://aclanthology.org/2024.emnlp-main.570/)**William Chen, Wangyou Zhang, Yifan Peng et al. · 🏆 Best Paper Award*20 citations*
4. **[A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models](https://aclanthology.org/2024.emnlp-main.210/)**Jiayin Wang, Fengran Mo, Weizhi Ma et al. · 🏆 Resource Paper Award*17 citations*
5. **[Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs](https://aclanthology.org/2024.emnlp-main.53/)**Kanishka Misra, Kyle Mahowald · 🏆 Outstanding Paper Award*17 citations*
6. **[The Zeno's Paradox of `Low-Resource' Languages](https://aclanthology.org/2024.emnlp-main.983/)**Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman et al. · 🏆 Outstanding Paper Award*14 citations*
7. **[Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving](https://aclanthology.org/2024.emnlp-main.172/)**Xin Quan, Marco Valentino, Louise A. Dennis et al. · 🏆 Outstanding Paper Award*13 citations*
8. **[Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs](https://aclanthology.org/2024.emnlp-main.914/)**Simone Conia, Daniel Lee, Min Li et al. · 🏆 Outstanding Paper Award*12 citations*
9. **[Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting](https://aclanthology.org/2024.emnlp-main.1051/)**Maxime Kayser, Bayar Menzat, Cornelius Emde et al. · 🏆 Outstanding Paper Award*11 citations*
10. **[KidLM: Advancing Language Models for Children – Early Insights and Future Directions](https://aclanthology.org/2024.emnlp-main.277/)**Mir Tafseer Nayeem, Davood Rafiei · 🏆 Resource Paper Award*11 citations*
11. **[GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory](https://aclanthology.org/2024.emnlp-main.195/)**Wei Fan, Haoran Li, Zheye Deng et al. · 🏆 Outstanding Paper Award*10 citations*
12. **[Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval](https://aclanthology.org/2024.emnlp-main.1101/)**Yifan Qiao, Parker Carlson, Shanxiu He et al. · 🏆 Outstanding Paper Award*10 citations*
13. **[sign.mt: Real-Time Multilingual Sign Language Translation Application](https://aclanthology.org/2024.emnlp-demo.19/)**Amit Moryossef · System Demonstrations · 🏆 Outstanding Demo Paper Award*9 citations*
14. **[An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance](https://aclanthology.org/2024.emnlp-main.573/)**Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song et al. · 🏆 Best Paper Award*8 citations*
15. **[Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method](https://aclanthology.org/2024.emnlp-main.300/)**Weichao Zhang, Ruqing Zhang, Jiafeng Guo et al. · 🏆 Best Paper Award*8 citations*
16. **[Finding Blind Spots in Evaluator LLMs with Interpretable Checklists](https://aclanthology.org/2024.emnlp-main.911/)**Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma et al. · 🏆 Outstanding Paper Award*7 citations*
17. **[Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models](https://aclanthology.org/2024.emnlp-main.649/)**Sander Land, Max Bartolo · 🏆 Outstanding Paper Award*7 citations*
18. **[Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps](https://aclanthology.org/2024.emnlp-main.1188/)**Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci et al. · 🏆 Social Impact Paper Award*6 citations*
19. **[Backward Lens: Projecting Language Model Gradients into the Vocabulary Space](https://aclanthology.org/2024.emnlp-main.142/)**Shahar Katz, Yonatan Belinkov, Mor Geva et al. · 🏆 Best Paper Award*5 citations*
20. **[Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs](https://aclanthology.org/2024.emnlp-main.1216/)**Alexander Spangher, Nanyun Peng, Sebastian Gehrmann et al. · 🏆 Outstanding Paper Award*4 citations*
21. **[OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents](https://aclanthology.org/2024.emnlp-demo.5/)**Qiang Sun, Yuanyi Luo, Sirui Li et al. · System Demonstrations · 🏆 Best Demo Paper Award*4 citations*
22. **[SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories](https://aclanthology.org/2024.emnlp-main.702/)**Ben Bogin, Kejuan Yang, Shashank Gupta et al. · 🏆 Outstanding Paper Award*4 citations*
23. **[CoGen: Learning from Feedback with Coupled Comprehension and Generation](https://aclanthology.org/2024.emnlp-main.721/)**Mustafa Omer Gul, Yoav Artzi · 🏆 Best Paper Award*2 citations*
24. **[Learning to Retrieve Iteratively for In-Context Learning](https://aclanthology.org/2024.emnlp-main.406/)**Yunmo Chen, Tongfei Chen, Harsh Jhamtani et al. · 🏆 Outstanding Paper Award*2 citations*
25. **[Measuring Psychological Depth in Language Models](https://aclanthology.org/2024.emnlp-main.953/)**Fabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla et al. · 🏆 Outstanding Paper Award*2 citations*
26. **[OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants](https://aclanthology.org/2024.emnlp-main.724/)**Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn et al. · 🏆 Outstanding Paper Award*2 citations*
27. **[Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge](https://aclanthology.org/2024.emnlp-main.304/)**Jiahuan Li, Yiqing Cao, Shujian Huang et al. · 🏆 Outstanding Paper Award*1 citation*
28. **[Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing](https://aclanthology.org/2024.emnlp-main.20/)**Fangkai Jiao, Chengwei Qin, Zhengyuan Liu et al. · 🏆 Outstanding Paper Award*1 citation*
29. **[What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study](https://aclanthology.org/2024.emnlp-main.1002/)**Beatrice Savoldi, Sara Papi, Matteo Negri et al. · 🏆 Social Impact Paper Award*1 citation*
30. **[Which questions should I answer? Salience Prediction of Inquisitive Questions](https://aclanthology.org/2024.emnlp-main.1114/)**Yating Wu, Ritika Mangla, Alexandros G. Dimakis et al. · 🏆 Outstanding Paper Award*1 citation*
31. **[DEM: Distribution Edited Model for Training with Mixed Data Distributions](https://aclanthology.org/2024.emnlp-main.1074/)**Dhananjay Ram, Aditya Rawal, Momchil Hardalov et al. · 🏆 Special Theme Paper Award
32. **[STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions](https://aclanthology.org/2024.emnlp-main.243/)**Robert 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 Generation](https://aclanthology.org/2024.emnlp-main.311/)**Raphael 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 Learning](https://aclanthology.org/2024.emnlp-main.64/)**Qingxiu Dong, Lei Li, Damai Dai et al.*632 citations*
2. **[Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/)**Bin Lin, Yang Ye, Bin Zhu et al.*424 citations · our summary*
3. **[Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/)**Tian Liang, Zhiwei He, Wenxiang Jiao et al.*309 citations · our summary*
4. **[Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)**Zhen Tan, Dawei Li, Song Wang et al.*169 citations · our summary*
5. **[Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs](https://md.research.elamur.ai/free/en/papers/ovadia-2024-fine-tuning-or-retrieval-comparing/)**Oded Ovadia, Menachem Brief, Moshik Mishaeli et al.*137 citations · our summary*
6. **[Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction](https://aclanthology.org/2024.emnlp-main.548/)**Bowen Zhang, Harold Soh*124 citations*
7. **[ORPO: Monolithic Preference Optimization without Reference Model](https://aclanthology.org/2024.emnlp-main.626/)**Jiwoo Hong, Noah Lee, James Thorne*111 citations*
8. **[Searching for Best Practices in Retrieval-Augmented Generation](https://aclanthology.org/2024.emnlp-main.981/)**Xiaohua Wang, Zhenghua Wang, Xuan Gao et al.*111 citations*
9. **[mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/)**Xin Zhang, Yanzhao Zhang, Dingkun Long et al. · Industry Track*100 citations · our summary*
10. **[LawBench: Benchmarking Legal Knowledge of Large Language Models](https://aclanthology.org/2024.emnlp-main.452/)**Zhiwei 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 Learning](https://aclanthology.org/2024.emnlp-main.64/)**Qingxiu Dong, Lei Li, Damai Dai et al.*632 citations*
2. **[Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/)**Bin Lin, Yang Ye, Bin Zhu et al.*424 citations · our summary*
3. **[Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/)**Tian Liang, Zhiwei He, Wenxiang Jiao et al.*309 citations · our summary*
4. **[Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)**Zhen Tan, Dawei Li, Song Wang et al.*169 citations · our summary*
5. **[Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs](https://md.research.elamur.ai/free/en/papers/ovadia-2024-fine-tuning-or-retrieval-comparing/)**Oded Ovadia, Menachem Brief, Moshik Mishaeli et al.*137 citations · our summary*
6. **[Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction](https://aclanthology.org/2024.emnlp-main.548/)**Bowen Zhang, Harold Soh*124 citations*
7. **[ORPO: Monolithic Preference Optimization without Reference Model](https://aclanthology.org/2024.emnlp-main.626/)**Jiwoo Hong, Noah Lee, James Thorne*111 citations*
8. **[Searching for Best Practices in Retrieval-Augmented Generation](https://aclanthology.org/2024.emnlp-main.981/)**Xiaohua Wang, Zhenghua Wang, Xuan Gao et al.*111 citations*
9. **[mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/)**Xin Zhang, Yanzhao Zhang, Dingkun Long et al. · Industry Track*100 citations · our summary*
10. **[LawBench: Benchmarking Legal Knowledge of Large Language Models](https://aclanthology.org/2024.emnlp-main.452/)**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu et al.*90 citations*
11. **[Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?](https://aclanthology.org/2024.emnlp-main.444/)**Zorik Gekhman, Gal Yona, Roee Aharoni et al.*84 citations*
12. **[Knowledge Conflicts for LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/)**Rongwu Xu, Zehan Qi, Zhijiang Guo et al.*81 citations · our summary*
13. **[Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale](https://aclanthology.org/2024.emnlp-main.418/)**Junying Chen, Chi Gui, Ruyi Ouyang et al.*74 citations*
14. **[Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models](https://aclanthology.org/2024.emnlp-main.717/)**Yae Jee Cho, Luyang Liu, Zheng Xu et al.*73 citations*
15. **[Dense X Retrieval: What Retrieval Granularity Should We Use?](https://md.research.elamur.ai/free/en/papers/chen-2024-dense-x-retrieval-what-retrieval/)**Tong Chen, Hongwei Wang, Sihao Chen et al.*72 citations · our summary*
16. **[Humans or LLMs as the Judge? A Study on Judgement Bias](https://md.research.elamur.ai/free/en/papers/chen-2024-humans-or-llms-as-judge/)**Guiming Hardy Chen, Shunian Chen, Ziche Liu et al.*70 citations · our summary*
17. **[RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models](https://aclanthology.org/2024.emnlp-main.62/)**Peng Xia, Kangyu Zhu, Haoran Li et al.*65 citations*
18. **[A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations](https://aclanthology.org/2024.emnlp-main.764/)**Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari et al.*64 citations*
19. **[LLM4Decompile: Decompiling Binary Code with Large Language Models](https://aclanthology.org/2024.emnlp-main.203/)**Hanzhuo Tan, Qi Luo, Jing Li et al.*62 citations*
20. **[Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination](https://aclanthology.org/2024.emnlp-main.750/)**Eve Fleisig, Genevieve Smith, Madeline Bossi et al.*59 citations*
21. **[Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles](https://aclanthology.org/2024.emnlp-main.591/)**Ryan Louie, Ananjan Nandi, William Fang et al.*59 citations*
22. **[A Simple LLM Framework for Long-Range Video Question-Answering](https://aclanthology.org/2024.emnlp-main.1209/)**Ce Zhang, Taixi Lu, Md Mohaiminul Islam et al.*58 citations*
23. **[Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.](https://aclanthology.org/2024.emnlp-industry.91/)**Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai et al. · Industry Track*55 citations*
24. **[Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models](https://aclanthology.org/2024.emnlp-main.248/)**Seungone Kim, Juyoung Suk, Shayne Longpre et al.*55 citations*
25. **[Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/)**Wenhao Yu, Hongming Zhang, Xiaoman Pan et al.*52 citations · our summary*

[See all 1,447 papers in EMNLP 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2024/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 Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhen Tan, Dawei Li, Song Wang, et al.*2024 · 259 citations*
2. **[mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.*2024 · 236 citations*
3. **[Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs](https://md.research.elamur.ai/free/en/papers/ovadia-2024-fine-tuning-or-retrieval-comparing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Oded Ovadia, Menachem Brief, Moshik Mishaeli, et al.*2024 · 206 citations*
4. **[Knowledge Conflicts for LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 179 citations*
5. **[MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents](https://md.research.elamur.ai/free/en/papers/tang-2024-minicheck-efficient-fact-checking-llms/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liyan Tang, Philippe Laban, Greg Durrett*2024 · 159 citations*
6. **[Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.*2024 · 149 citations*
7. **[Dense X Retrieval: What Retrieval Granularity Should We Use?](https://md.research.elamur.ai/free/en/papers/chen-2024-dense-x-retrieval-what-retrieval/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tong Chen, Hongwei Wang, Sihao Chen, et al.*2024 · 142 citations*
8. **[Humans or LLMs as the Judge? A Study on Judgement Bias](https://md.research.elamur.ai/free/en/papers/chen-2024-humans-or-llms-as-judge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.*2024 · 131 citations*
9. **[EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-2-faster-inference-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuhui Li, Fangyun Wei, Chao Zhang, et al.*2024 · 131 citations*
10. **[Towards Measuring and Modeling “Culture” in LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/adilazuarda-2024-measuring-modeling-culture-llms-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.*2024 · 102 citations*
11. **[Moral Foundations of Large Language Models](https://md.research.elamur.ai/free/en/papers/abdulhai-2024-moral-foundations-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.*2024 · 94 citations*
12. **[Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://md.research.elamur.ai/free/en/papers/ong-2024-optimizing-instructions-demonstrations-multi-stage/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Krista 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 Languages](https://md.research.elamur.ai/free/en/papers/chang-2024-when-is-multilinguality-curse-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.*2024 · 85 citations*
14. **[Benchmarking Vision Language Models for Cultural Understanding](https://md.research.elamur.ai/free/en/papers/nayak-2024-benchmarking-vision-language-models-cultural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shravan 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 Assessment](https://md.research.elamur.ai/free/en/papers/raina-2024-is-llm-as-judge-robust/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vyas Raina, Adian Liusie, Mark Gales*2024 · 85 citations*
16. **[LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training](https://md.research.elamur.ai/free/en/papers/zhu-2024-llama-moe-building-mixture-experts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tong Zhu, Xiaoye Qu, Daize Dong, et al.*2024 · 85 citations*
17. **[Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.*2024 · 83 citations*
18. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yong Lin, Hangyu Lin, Wei Xiong, et al.*2024 · 82 citations*
19. **[Chain-of-Dictionary Prompting Elicits Translation in Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-chain-dictionary-prompting-elicits-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hongyuan 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 Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.*2024 · 76 citations*
21. **[LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing](https://md.research.elamur.ai/free/en/papers/du-2024-llms-assist-nlp-researchers-critique/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiangshu Du, Yibo Wang, Wenting Zhao, et al.*2024 · 71 citations*
22. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzheng Wang, Longze Chen, Fu Cheng, et al.*2024 · 71 citations*
23. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jia-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 Models](https://md.research.elamur.ai/free/en/papers/kwan-2024-mt-eval-multi-turn-capabilities/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.*2024 · 66 citations*
25. **[Tokenization Is More Than Compression](https://md.research.elamur.ai/free/en/papers/schmidt-2024-tokenization-is-more-than-compression/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.*2024 · 66 citations*

[See all 35 works in EMNLP 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2024/works/)

## Top topics

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

[Language models & pretraining (19)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search (5)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Machine translation (3)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Low-resource languages (2)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Psycholinguistics & language acquisition (2)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Tokenization & segmentation (2)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Dependency parsing (1)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/)

**2 more topics**

[Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Fields

[Arts and Humanities (35)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (34)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (4)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Neuroscience (2)](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Top authors

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

[🧑‍🔬**Dong Yu**2 works here · 291 citations](https://md.research.elamur.ai/free/en/authors/dong-yu/) · [🧑‍🔬**Hongming Zhang**2 works here · 291 citations](https://md.research.elamur.ai/free/en/authors/hongming-zhang/) · [🧑‍🔬**Hongwei Wang**2 works here · 291 citations](https://md.research.elamur.ai/free/en/authors/hongwei-wang/) · [🧑‍🔬**Kaixin Ma**2 works here · 291 citations](https://md.research.elamur.ai/free/en/authors/kaixin-ma/) · [🧑‍🔬**Wenhao Yu**2 works here · 291 citations](https://md.research.elamur.ai/free/en/authors/wenhao-yu/) · [🧑‍🔬**Baosong Yang**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/baosong-yang/) · [🧑‍🔬**Dingkun Long**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/dingkun-long/) · [🧑‍🔬**Fei Huang**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/fei-huang/) · [🧑‍🔬**Huan Lin**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/huan-lin/) · [🧑‍🔬**Jialong Tang**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/jialong-tang/) · [🧑‍🔬**Meishan Zhang**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/meishan-zhang/) · [🧑‍🔬**Pengjun Xie**1 work here · 236 citations](https://md.research.elamur.ai/free/en/authors/pengjun-xie/)

## Top institutions

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

[🎓**Chinese University of Hong Kong** Hong Kong · China 4 works here](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**University of Washington** Seattle · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of Cambridge** Cambridge · United Kingdom 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**University of Copenhagen** Copenhagen · Denmark 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🏢**Microsoft** Redmond · United States 2 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Google** Mountain View · United States 2 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Nvidia (United Kingdom)** Reading · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2 works here](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2 works here](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Peking University** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Fudan University** Shanghai · China 2 works here](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**University of Illinois Chicago** Chicago · United States 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/)

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

- [← previous EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)
- [next → EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
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