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
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlyu Chen, Shitao Xiao, Peitian Zhang et al.700 citations · our summary
- Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu et al.359 citations · our summary
- Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu et al.299 citations · our summary
- Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu et al.253 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin et al.250 citations · our summary
- MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong et al.250 citations · our summary
- AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo et al.199 citations · our summary
- The Effect of Sampling Temperature on Problem Solving in Large Language ModelsMatthew Renze198 citations · our summary
- Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong et al.181 citations · our summary
- 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)
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationJianlyu Chen, Shitao Xiao, Peitian Zhang et al.700 citations · our summary
- Sentiment Analysis in the Era of Large Language Models: A Reality CheckWenxuan Zhang, Yue Deng, Bing Liu et al.359 citations · our summary
- Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu et al.299 citations · our summary
- Chain-of-Verification Reduces Hallucination in Large Language ModelsShehzaad Dhuliawala, Mojtaba Komeili, Jing Xu et al.253 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin et al.250 citations · our summary
- MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong et al.250 citations · our summary
- AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo et al.199 citations · our summary
- The Effect of Sampling Temperature on Problem Solving in Large Language ModelsMatthew Renze198 citations · our summary
- Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong et al.181 citations · our summary
- Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui et al.154 citations · our summary
- emotion2vec: Self-Supervised Pre-Training for Speech Emotion RepresentationZiyang Ma, Zhisheng Zheng, Jiaxin Ye et al.150 citations
- MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang et al.149 citations · our summary
- LLM-Rec: Personalized Recommendation via Prompting Large Language ModelsHanjia Lyu, Song Jiang, Hanqing Zeng et al.142 citations
- Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao et al.134 citations
- LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao et al.127 citations · our summary
- InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsQiusi Zhan, Zhixiang Liang, Zifan Ying et al.124 citations · our summary
- On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao et al.123 citations · our summary
- PersonaLLM: Investigating the Ability of Large Language Models to Express Personality TraitsHang Jiang, Xiajie Zhang, Xubo Cao et al.118 citations
- RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsNoah Wang, Z.Y. Peng, Haoran Que et al.111 citations
- The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Shenglai Zeng, Jiankun Zhang, Pengfei He et al.102 citations
- CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto et al.100 citations · our summary
- Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and ChallengesBosheng Ding, Chengwei Qin, Ruochen Zhao et al.98 citations
- Prompt Engineering a Prompt EngineerQinyuan Ye, Mohamed Ahmed, Reid Pryzant et al.97 citations
- The Revolution of Multimodal Large Language Models: A SurveyDavide Caffagni, Federico Cocchi, Luca Barsellotti et al.89 citations
- 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
Papers with our summary in our library (63)
- AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 564 citations
- Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 503 citations
- Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 426 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 408 citations
- MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
- Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 297 citations
- LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
- The Effect of Sampling Temperature on Problem Solving in Large Language ModelsMatthew Renze2024 · 262 citations
- MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 245 citations
- On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
- InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model AgentsQiusi Zhan, Zhixiang Liang, Zifan Ying, et al.2024 · 187 citations
- 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
- LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
- Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
- Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 142 citations
- Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
- Scaling Sentence Embeddings with Large Language ModelsTing Jiang, Shaohan Huang, Zhongzhi Luan, et al.2024 · 126 citations
- The Impact of Reasoning Step Length on Large Language ModelsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
- ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
- SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
- mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document UnderstandingAnwen Hu, Haiyang Xu, Jiabo Ye, et al.2024 · 109 citations
- Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
- Disentangling Length from Quality in Direct Preference OptimizationRyan Park, Rafael Rafailov, Stefano Ermon, et al.2024 · 99 citations
- Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language ModelsWeihang Su, Changyue Wang, Qingyao Ai, et al.2024 · 98 citations
Top topics
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
Top institutions
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