NeurIPS 2023 — accepted papers
NeurIPS 2023 is the 2023 edition of the Conference on Neural Information Processing Systems (NeurIPS), held in New Orleans, United States, 10–16 December 2023. OpenAlex lists 3,540 papers of it; our library holds 49 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- QLoRA: Efficient Finetuning of Quantized LLMsTim Dettmers, Artidoro Pagnoni, Ari Holtzman et al.1,428 citations
- Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaLianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.1,417 citations
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu et al.1,404 citations
- Tree of Thoughts: Deliberate Problem Solving with Large Language ModelsShunyu Yao, Dian Yu, Jeffrey Zhao et al.1,013 citations
- Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì et al.997 citations · our summary
- Reflexion: language agents with verbal reinforcement learningNoah Shinn, Federico Cassano, Ashwin Gopinath et al.930 citations · our summary
- Self-Refine: Iterative Refinement with Self-FeedbackAman Madaan, Niket Tandon, Prakhar Gupta et al.618 citations
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayChunyuan Li, Cliff Wong, Sheng Zhang et al.485 citations · our summary
- Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell et al.474 citations
- Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismChengcheng Wang, Wei He, Ying Nie et al.403 citations
All accepted papers (3,540)
- QLoRA: Efficient Finetuning of Quantized LLMsTim Dettmers, Artidoro Pagnoni, Ari Holtzman et al.1,428 citations
- Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaLianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.1,417 citations
- Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu et al.1,404 citations
- Tree of Thoughts: Deliberate Problem Solving with Large Language ModelsShunyu Yao, Dian Yu, Jeffrey Zhao et al.1,013 citations
- Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì et al.997 citations · our summary
- Reflexion: language agents with verbal reinforcement learningNoah Shinn, Federico Cassano, Ashwin Gopinath et al.930 citations · our summary
- Self-Refine: Iterative Refinement with Self-FeedbackAman Madaan, Niket Tandon, Prakhar Gupta et al.618 citations
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayChunyuan Li, Cliff Wong, Sheng Zhang et al.485 citations · our summary
- Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell et al.474 citations
- Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismChengcheng Wang, Wei He, Ying Nie et al.403 citations
- InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningWenliang Dai, Junnan Li, Dongxu Li et al.398 citations
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan et al.382 citations · our summary
- Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Chevalier Chevalier et al.312 citations · our summary
- One Fits All: Power General Time Series Analysis by Pretrained LMTian Zhou, Peisong Niu, Xue Wang et al.295 citations
- Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang et al.291 citations · our summary
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani et al.274 citations · our summary
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score DistillationZhengyi Wang, Cheng Lu, Yikai Wang et al.237 citations
- Segment Everything Everywhere All at OnceXueyan Zou, Jianwei Yang, Hao Zhang et al.235 citations
- ImageReward: Learning and Evaluating Human Preferences for Text-to-Image GenerationJiazheng Xu, Xiao Liu, Yuchen Wu et al.226 citations
- Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez et al.222 citations · our summary
- DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionMohammadreza Pourreza, Davood Rafiei219 citations · our summary
- Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt216 citations · our summary
- Frequency-domain MLPs are More Effective Learners in Time Series ForecastingKun Yi, Qi Zhang, Wei Fan et al.214 citations
- Symbolic Discovery of Optimization AlgorithmsXiangning Chen, Chen Liang, Da Huang et al.210 citations
- LIMA: Less Is More for AlignmentChunting Zhou, Pengfei Liu, Puxin Xu et al.199 citations
See all 3,540 papers in NeurIPS 2023 — accepted papers →
Papers with our summary in our library (49)
- Reflexion: Language Agents with Verbal Reinforcement LearningNoah Shinn, Federico Cassano, Edward Berman, et al.2023 · 2,204 citations
- Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,024 citations
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 740 citations
- SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 692 citations
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayChunyuan Li, Cliff Wong, Sheng Zhang, et al.2023 · 680 citations
- Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
- Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023 · 632 citations
- Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.2023 · 568 citations
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsChaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 529 citations
- Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 529 citations
- Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 473 citations
- LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao Wang2023 · 448 citations
- Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 446 citations
- AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 424 citations
- Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsJinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 421 citations
- DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionMohammadreza Pourreza, Davood Rafiei2023 · 398 citations
- Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 376 citations
- CogVLM: Visual Expert for Pretrained Language ModelsWeihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 373 citations
- BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 352 citations
- Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
- Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 322 citations
- Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
- Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsPan Lu, Baolin Peng, Hao Cheng, et al.2023 · 311 citations
- TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
See all 49 works in NeurIPS 2023 — accepted papers →
Top topics
Language models & pretraining (29)Reasoning (10)Bias, fairness & safety (5)Evaluation & benchmarks (3)Code & programming languages (3)Vision & language (3)Information retrieval & search (2)Semantic parsing & meaning representation (2)Question answering (1)Multilingual & cross-lingual NLP (1)Interpretability (1)Tokenization & segmentation (1)Efficient models & compression (1)English (1)
Fields
Computer Science (47)Arts and Humanities (33)Social Sciences (7)Psychology (3)Mathematics (2)Biochemistry, Genetics and Molecular Biology (1)Decision Sciences (1)Engineering (1)Medicine (1)
Top authors
Top institutions
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