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EMNLP 2023 — accepted papers

EMNLP 2023 is the 2023 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Singapore, Singapore, 6–10 December 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 1,182 papers of it in 4 tracks; our library holds 80 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

 1,182papers in the proceedings 80works in our library 15,928citations of these works Singapore, Singaporewhere it was held 6–10 December 2023when

Tracks

Main1,047Industry Track77System Demonstrations52Tutorial Abstracts6

Most cited papers

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

  1. G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentYang Liu, Dan Iter, Yichong Xu et al.904 citations
  2. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing · System Demonstrations586 citations
  3. Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou et al.559 citations · our summary
  4. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang et al.504 citations · our summary
  5. Active Retrieval Augmented GenerationZhengbao Jiang, Frank Xu, Luyu Gao et al.462 citations
  6. CodeT5+: Open Code Large Language Models for Code Understanding and GenerationYue Wang, Hung Le, Akhilesh Gotmare et al.433 citations
  7. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong et al.428 citations · our summary
  8. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu et al.374 citations · our summary
  9. HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Xin Zhao et al.321 citations · our summary

All accepted papers (1,182)

The most cited first; 80 with our summary link to their page here, the others to the original.

  1. G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentYang Liu, Dan Iter, Yichong Xu et al.904 citations
  2. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing · System Demonstrations586 citations
  3. Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou et al.559 citations · our summary
  4. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang et al.504 citations · our summary
  5. Active Retrieval Augmented GenerationZhengbao Jiang, Frank Xu, Luyu Gao et al.462 citations
  6. CodeT5+: Open Code Large Language Models for Code Understanding and GenerationYue Wang, Hung Le, Akhilesh Gotmare et al.433 citations
  7. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong et al.428 citations · our summary
  8. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu et al.374 citations · our summary
  9. HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Xin Zhao et al.321 citations · our summary
  10. Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He et al.263 citations · our summary
  11. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsWeiwei Sun, Lingyong Yan, Xinyu Ma et al.262 citations · our summary
  12. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsZhiqiang Hu, Lei Wang, Yihuai Lan et al.238 citations · our summary
  13. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou et al.219 citations · our summary
  14. Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu et al.204 citations · our summary
  15. Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei200 citations · our summary
  16. Automatic Prompt Optimization with “Gradient Descent” and Beam SearchReid Pryzant, Dan Iter, Jerry Li et al.187 citations · our summary
  17. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao et al.162 citations · our summary
  18. Reasoning with Language Model is Planning with World ModelShibo Hao, Yi Gu, Haodi Ma et al.158 citations
  19. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin et al.154 citations · our summary
  20. Towards Interpretable Mental Health Analysis with Large Language ModelsKailai Yang, Shaoxiong Ji, Tianlin Zhang et al.153 citations
  21. Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji et al.150 citations · our summary

See all 1,182 papers in EMNLP 2023 — accepted papers →

 Papers with our summary in our library (80)

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

  1. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.2023 · 1,012 citations
  2. Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou, et al.2023 · 986 citations
  3. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 971 citations
  4. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
  5. HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.2023 · 647 citations
  6. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 643 citations
  7. Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu, et al.2023 · 614 citations
  8. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
  9. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsWeiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 494 citations
  10. Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 477 citations
  11. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsZhiqiang Hu, Lei Wang, Yihuai Lan, et al.2023 · 399 citations
  12. Automatic Prompt Optimization with “Gradient Descent” and Beam SearchReid Pryzant, Dan Iter, Jerry Li, et al.2023 · 397 citations
  13. Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 383 citations
  14. Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei2023 · 353 citations
  15. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 335 citations
  16. Character-LLM: A Trainable Agent for Role-PlayingYunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 300 citations
  17. Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 296 citations
  18. Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat DataCanwen Xu, Daya Guo, Nan Duan, et al.2023 · 296 citations
  19. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsMinghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 282 citations
  20. GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
  21. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
  22. Compressing Context to Enhance Inference Efficiency of Large Language ModelsYucheng Li, Bo Dong, Frank Guerin, et al.2023 · 209 citations
  23. SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationHyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
  24. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackViet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 194 citations
  25. Adapting Language Models to Compress ContextsAlexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 179 citations

See all 80 works in EMNLP 2023 — accepted papers →

 Top topics

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

 Language models & pretraining (34) Reasoning (11) Multilingual & cross-lingual NLP (7) English (6) Discourse analysis (5) Evaluation & benchmarks (5) Information retrieval & search (5) Question answering (4) Vision & language (4) Machine translation (3) Sentiment & emotion (3) Implicature (2) Coreference resolution (2) Text generation (2) Dialogue systems (2)

10 more topics

 Semitic languages (2) Efficient models & compression (2) Idioms & multiword expressions (2) Information extraction (1) Summarization (1) Morphology (1) Knowledge graphs & ontologies (1) Bias, fairness & safety (1) Tokenization & segmentation (1) Grammatical error correction & learner language (1)

 Fields

 Computer Science (79) Arts and Humanities (76) Social Sciences (6) Psychology (2) Business, Management and Accounting (1) Neuroscience (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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