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Findings of the Association for Computational Linguistics 2024 — accepted papers

Findings of the Association for Computational Linguistics 2024 is the 2024 edition of the Findings of the Association for Computational Linguistics, held in Bangkok, Thailand, August 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 2,432 papers of it; our library holds 63 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

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

  1. Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu et al.359 citations · our summary
  2. Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu et al.299 citations · our summary
  3. Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu et al.253 citations
  4. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin et al.250 citations · our summary
  5. MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong et al.250 citations · our summary
  6. AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo et al.199 citations · our summary
  7. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong et al.181 citations · our summary
  8. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui et al.154 citations · our summary

All accepted papers (2,432)

The most cited first; 63 with our summary link to their page here, the others to the original.

  1. Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu et al.359 citations · our summary
  2. Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu et al.299 citations · our summary
  3. Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu et al.253 citations
  4. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin et al.250 citations · our summary
  5. MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong et al.250 citations · our summary
  6. AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo et al.199 citations · our summary
  7. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong et al.181 citations · our summary
  8. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui et al.154 citations · our summary
  9. emotion2vec: Self-Supervised Pre-Training for Speech Emotion RepresentationZiyang Ma, Zhisheng Zheng, Jiaxin Ye et al.150 citations
  10. MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang et al.149 citations · our summary
  11. LLM-Rec: Personalized Recommendation via Prompting Large Language ModelsHanjia Lyu, Song Jiang, Hanqing Zeng et al.142 citations
  12. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao et al.134 citations
  13. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao et al.127 citations · our summary
  14. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsQiusi Zhan, Zhixiang Liang, Zifan Ying et al.124 citations · our summary
  15. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao et al.123 citations · our summary
  16. The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Shenglai Zeng, Jiankun Zhang, Pengfei He et al.102 citations
  17. CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto et al.100 citations · our summary
  18. Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and ChallengesBosheng Ding, Chengwei Qin, Ruochen Zhao et al.98 citations
  19. Prompt Engineering a Prompt EngineerQinyuan Ye, Mohamed Ahmed, Reid Pryzant et al.97 citations
  20. The Revolution of Multimodal Large Language Models: A SurveyDavide Caffagni, Federico Cocchi, Luca Barsellotti et al.89 citations
  21. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao et al.85 citations · our summary

See all 2,432 papers in Findings of the Association for Computational Linguistics 2024 — accepted papers →

 Papers with our summary in our library (63)

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

  1. AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 564 citations
  2. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 503 citations
  3. Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 426 citations
  4. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 408 citations
  5. MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
  6. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 297 citations
  7. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
  8. The Effect of Sampling Temperature on Problem Solving in Large Language ModelsMatthew Renze2024 · 262 citations
  9. MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 245 citations
  10. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
  11. InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsQiusi Zhan, Zhixiang Liang, Zifan Ying, et al.2024 · 187 citations
  12. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 177 citations
  13. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
  14. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
  15. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 142 citations
  16. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
  17. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  18. Scaling Sentence Embeddings with Large Language ModelsTing Jiang, Shaohan Huang, Zhongzhi Luan, et al.2024 · 126 citations
  19. The Impact of Reasoning Step Length on Large Language ModelsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
  20. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
  21. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
  22. mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document UnderstandingAnwen Hu, Haiyang Xu, Jiabo Ye, et al.2024 · 109 citations
  23. Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
  24. Disentangling Length from Quality in Direct Preference OptimizationRyan Park, Rafael Rafailov, Stefano Ermon, et al.2024 · 99 citations
  25. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language ModelsWeihang Su, Changyue Wang, Qingyao Ai, et al.2024 · 98 citations

See all 63 works in Findings of the Association for Computational Linguistics 2024 — accepted papers →

 Top topics

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

Language models & pretraining (25)Evaluation & benchmarks (8)Reasoning (7)Multilingual & cross-lingual NLP (6)Semitic languages (6)Bias, fairness & safety (5)Hebrew & Aramaic (4)Vision & language (4)Efficient models & compression (4)Discourse analysis (3)Machine translation (3)English (3)Implicature (2)Information retrieval & search (2)Biblical Hebrew (2)

12 more topics

Aramaic (2)Coreference resolution (1)Sentiment & emotion (1)Summarization (1)Text generation (1)Dialogue systems (1)Morphology (1)Knowledge graphs & ontologies (1)Legal AI (1)Tokenization & segmentation (1)French (1)Modern Hebrew (1)

 Fields

Computer Science (63)Arts and Humanities (60)Social Sciences (7)Medicine (3)Engineering (1)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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