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.
Tracks
Main1,047Industry Track77System Demonstrations52Tutorial Abstracts6
Most cited papers
- G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentYang Liu, Dan Iter, Yichong Xu et al.904 citations
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing · System Demonstrations586 citations
- Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou et al.559 citations · our summary
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language ModelsPotsawee Manakul, Adian Liusie, Mark Gales512 citations
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang et al.504 citations · our summary
- Active Retrieval Augmented GenerationZhengbao Jiang, Frank Xu, Luyu Gao et al.462 citations
- CodeT5+: Open Code Large Language Models for Code Understanding and GenerationYue Wang, Hung Le, Akhilesh Gotmare et al.433 citations
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong et al.428 citations · our summary
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu et al.374 citations · our summary
- 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)
- G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentYang Liu, Dan Iter, Yichong Xu et al.904 citations
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing · System Demonstrations586 citations
- Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou et al.559 citations · our summary
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language ModelsPotsawee Manakul, Adian Liusie, Mark Gales512 citations
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang et al.504 citations · our summary
- Active Retrieval Augmented GenerationZhengbao Jiang, Frank Xu, Luyu Gao et al.462 citations
- CodeT5+: Open Code Large Language Models for Code Understanding and GenerationYue Wang, Hung Le, Akhilesh Gotmare et al.433 citations
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong et al.428 citations · our summary
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu et al.374 citations · our summary
- HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Xin Zhao et al.321 citations · our summary
- Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He et al.263 citations · our summary
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsWeiwei Sun, Lingyong Yan, Xinyu Ma et al.262 citations · our summary
- 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
- StructGPT: A General Framework for Large Language Model to Reason over Structured DataJinhao Jiang, Kun Zhou, Zican Dong et al.234 citations
- Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou et al.219 citations · our summary
- Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu et al.204 citations · our summary
- Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei200 citations · our summary
- Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment AnalysisHaoyu Zhang, Yu Wang, Guanghao Yin et al.188 citations
- Automatic Prompt Optimization with “Gradient Descent” and Beam SearchReid Pryzant, Dan Iter, Jerry Li et al.187 citations · our summary
- RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and GenerationFengji Zhang, Bei Chen, Yue Zhang et al.164 citations
- GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao et al.162 citations · our summary
- Reasoning with Language Model is Planning with World ModelShibo Hao, Yi Gu, Haodi Ma et al.158 citations
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin et al.154 citations · our summary
- Towards Interpretable Mental Health Analysis with Large Language ModelsKailai Yang, Shaoxiong Ji, Tianlin Zhang et al.153 citations
- 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)
- GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsJoshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.2023 · 1,012 citations
- Evaluating Object Hallucination in Large Vision-Language ModelsYifan Li, Yifan Du, Kun Zhou, et al.2023 · 986 citations
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 971 citations
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
- HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.2023 · 647 citations
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 643 citations
- Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu, et al.2023 · 614 citations
- Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsWeiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 494 citations
- Enabling Large Language Models to Generate Text with CitationsTianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 477 citations
- LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsZhiqiang Hu, Lei Wang, Yihuai Lan, et al.2023 · 399 citations
- Automatic Prompt Optimization with “Gradient Descent” and Beam SearchReid Pryzant, Dan Iter, Jerry Li, et al.2023 · 397 citations
- Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 383 citations
- Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei2023 · 353 citations
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsHuiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 335 citations
- Character-LLM: A Trainable Agent for Role-PlayingYunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 300 citations
- Document-Level Machine Translation with Large Language ModelsLongyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 296 citations
- Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat DataCanwen Xu, Daya Guo, Nan Duan, et al.2023 · 296 citations
- API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsMinghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 282 citations
- GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
- Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
- Compressing Context to Enhance Inference Efficiency of Large Language ModelsYucheng Li, Bo Dong, Frank Guerin, et al.2023 · 209 citations
- SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationHyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
- 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
- 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
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
Top institutions
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