---
title: "NeurIPS 2023 — all accepted papers — the most cited first"
description: "All 3,540 papers of NeurIPS 2023 · page 1 of 36, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/"
---
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# NeurIPS 2023: all accepted papers

3,540 papers · page 1 of 36 · the most cited first · [← NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

**1** [2](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/10/) … [36](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/36/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/2/)

1. **[QLoRA: Efficient Finetuning of Quantized LLMs ↗](https://doi.org/10.52202/075280-0441)**Tim Dettmers, Artidoro Pagnoni, Ari Holtzman et al.*1,428 citations*
2. **[Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena ↗](https://doi.org/10.52202/075280-2020)**Lianmin Zheng, Wei-Lin Chiang, Ying Sheng et al.*1,417 citations*
3. **[Visual Instruction Tuning ↗](https://doi.org/10.52202/075280-1516)**Haotian Liu, Chunyuan Li, Qingyang Wu et al.*1,404 citations*
4. **[Tree of Thoughts: Deliberate Problem Solving with Large Language Models ↗](https://doi.org/10.52202/075280-0517)**Shunyu Yao, Dian Yu, Jeffrey Zhao et al.*1,013 citations*
5. **[Toolformer: Language Models Can Teach Themselves to Use Tools](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/)**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì et al.*997 citations · our summary*
6. **[Reflexion: language agents with verbal reinforcement learning](https://md.research.elamur.ai/free/en/papers/shinn-2023-reflexion-language-agents-verbal-reinforcement/)**Noah Shinn, Federico Cassano, Ashwin Gopinath et al.*930 citations · our summary*
7. **[Self-Refine: Iterative Refinement with Self-Feedback ↗](https://doi.org/10.52202/075280-2019)**Aman Madaan, Niket Tandon, Prakhar Gupta et al.*618 citations*
8. **[LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/)**Chunyuan Li, Cliff Wong, Sheng Zhang et al.*485 citations · our summary*
9. **[Direct Preference Optimization: Your Language Model is Secretly a Reward Model ↗](https://doi.org/10.52202/075280-2338)**Rafael Rafailov, Archit Sharma, Eric Mitchell et al.*474 citations*
10. **[Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism ↗](https://doi.org/10.52202/075280-2224)**Chengcheng Wang, Wei He, Ying Nie et al.*403 citations*
11. **[InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning ↗](https://doi.org/10.52202/075280-2142)**Wenliang Dai, Junnan Li, Dongxu Li et al.*398 citations*
12. **[HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face](https://md.research.elamur.ai/free/en/papers/shen-2023-hugginggpt-solving-ai-tasks-chatgpt/)**Yongliang Shen, Kaitao Song, Xu Tan et al.*382 citations · our summary*
13. **[Mathematical Capabilities of ChatGPT](https://md.research.elamur.ai/free/en/papers/frieder-2023-mathematical-capabilities-chatgpt/)**Simon Frieder, Luca Pinchetti, Chevalier Chevalier et al.*312 citations · our summary*
14. **[One Fits All: Power General Time Series Analysis by Pretrained LM ↗](https://doi.org/10.52202/075280-1877)**Tian Zhou, Peisong Niu, Xue Wang et al.*295 citations*
15. **[Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation](https://md.research.elamur.ai/free/en/papers/liu-2023-your-code-generated-chatgpt-really/)**Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang et al.*291 citations · our summary*
16. **[CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society](https://md.research.elamur.ai/free/en/papers/li-2023-camel-communicative-agents-mind/)**Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani et al.*274 citations · our summary*
17. **[ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation ↗](https://doi.org/10.52202/075280-0368)**Zhengyi Wang, Cheng Lu, Yikai Wang et al.*237 citations*
18. **[Segment Everything Everywhere All at Once ↗](https://doi.org/10.52202/075280-0868)**Xueyan Zou, Jianwei Yang, Hao Zhang et al.*235 citations*
19. **[ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation ↗](https://doi.org/10.52202/075280-0700)**Jiazheng Xu, Xiao Liu, Yuchen Wu et al.*226 citations*
20. **[Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting](https://md.research.elamur.ai/free/en/papers/turpin-2023-language-models-don-t-always/)**Miles Turpin, Julian Michael, Ethan Perez et al.*222 citations · our summary*
21. **[DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction](https://md.research.elamur.ai/free/en/papers/pourreza-2023-din-sql-decomposed-context-learning/)**Mohammadreza Pourreza, Davood Rafiei*219 citations · our summary*
22. **[Jailbroken: How Does LLM Safety Training Fail?](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbroken-llm-safety-training-fail/)**Alexander Wei, Nika Haghtalab, Jacob Steinhardt*216 citations · our summary*
23. **[Frequency-domain MLPs are More Effective Learners in Time Series Forecasting ↗](https://doi.org/10.52202/075280-3349)**Kun Yi, Qi Zhang, Wei Fan et al.*214 citations*
24. **[Symbolic Discovery of Optimization Algorithms ↗](https://doi.org/10.52202/075280-2140)**Xiangning Chen, Chen Liang, Da Huang et al.*210 citations*
25. **[LIMA: Less Is More for Alignment ↗](https://doi.org/10.52202/075280-2400)**Chunting Zhou, Pengfei Liu, Puxin Xu et al.*199 citations*
26. **[Large Language Models Are Zero-Shot Time Series Forecasters ↗](https://doi.org/10.52202/075280-0861)**Nate Gruver, Marc Finzi, Shikai Qiu et al.*192 citations*
27. **[Language Is Not All You Need: Aligning Perception with Language Models](https://md.research.elamur.ai/free/en/papers/huang-2023-language-all-need-aligning-perception/)**Shaohan Huang, Li Dong, Wenhui Wang et al.*191 citations · our summary*
28. **[Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs](https://md.research.elamur.ai/free/en/papers/li-2023-llm-already-serve-database-interface/)**Jinyang Li, Binyuan Hui, Ge Qu et al.*184 citations · our summary*
29. **[Are Emergent Abilities of Large Language Models a Mirage?](https://md.research.elamur.ai/free/en/papers/schaeffer-2023-emergent-abilities-large-language-models/)**Rylan Schaeffer, Brando Miranda, Sanmi Koyejo*177 citations · our summary*
30. **[VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks ↗](https://doi.org/10.52202/075280-2688)**Wenhai Wang, Zhe Chen, Xiaokang Chen et al.*162 citations*
31. **[Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation ↗](https://doi.org/10.52202/075280-1594)**Yuval Kirstain, Adam Polyak, Uriel Singer et al.*155 citations*
32. **[LLM-Pruner: On the Structural Pruning of Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-llm-pruner-structural-pruning-large/)**Xinyin Ma, Gongfan Fang, Xinchao Wang*150 citations · our summary*
33. **[ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting ↗](https://doi.org/10.52202/075280-0583)**Zongsheng Yue, Jianyi Wang, Chen Change Loy*148 citations*
34. **[Objaverse-XL: A Universe of 10M+ 3D Objects ↗](https://doi.org/10.52202/075280-1554)**Matt Deitke, Ruoshi Liu, Matthew Wallingford et al.*146 citations*
35. **[One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization ↗](https://doi.org/10.52202/075280-0976)**Minghua Liu, Chao Xu, Haian Jin et al.*141 citations*
36. **[Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise ↗](https://doi.org/10.52202/075280-1789)**Arpit Bansal, Eitan Borgnia, Hong-Min Chu et al.*139 citations*
37. **[Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/)**Kalpesh Krishna, Yixiao Song, Marzena Karpinska et al.*134 citations · our summary*
38. **[Simple and Controllable Music Generation ↗](https://doi.org/10.52202/075280-2066)**Jade Copet, Felix Kreuk, Itai Gat et al.*134 citations*
39. **[High-Fidelity Audio Compression with Improved RVQGAN ↗](https://doi.org/10.52202/075280-1214)**Ishaan Kumar, Prem Seetharaman, Alejandro Luebs et al.*128 citations*
40. **[Global Structure-Aware Diffusion Process for Low-light Image Enhancement ↗](https://doi.org/10.52202/075280-3490)**Junhui Hou, Zhiyu Zhu, Junhui Hou et al.*125 citations*
41. **[LayoutGPT: Compositional Visual Planning and Generation with Large Language Models ↗](https://doi.org/10.52202/075280-0802)**Weixi Feng, Wanrong Zhu, Tsu-Jui Fu et al.*125 citations*
42. **[MotionGPT: Human Motion as a Foreign Language ↗](https://doi.org/10.52202/075280-0880)**Biao Jiang, Xin Chen, Wen LIU et al.*122 citations*
43. **[Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/)**Pan Lu, Baolin Peng, Hao Cheng et al.*120 citations · our summary*
44. **[Recommender Systems with Generative Retrieval ↗](https://doi.org/10.52202/075280-0452)**Shashank Rajput, Nikhil Mehta, Anima Singh et al.*119 citations*
45. **[3D-LLM: Injecting the 3D World into Large Language Models ↗](https://doi.org/10.52202/075280-0900)**Yining Hong, Haoyu Zhen, Peihao Chen et al.*117 citations*
46. **[Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models ↗](https://doi.org/10.52202/075280-0491)**Shihao Zhao, Dongdong Chen, Yen-Chun Chen et al.*117 citations*
47. **[When Do Neural Nets Outperform Boosted Trees on Tabular Data? ↗](https://doi.org/10.52202/075280-3337)**Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde et al.*116 citations*
48. **[BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing ↗](https://doi.org/10.52202/075280-1312)**Dongxu Li, Junnan Li, Steven C. H. Hoi*115 citations*
49. **[LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning ↗](https://doi.org/10.52202/075280-1939)**Bo Liu, Yifeng Zhu, Chongkai Gao et al.*115 citations*
50. **[VanillaNet: the Power of Minimalism in Deep Learning ↗](https://doi.org/10.52202/075280-0308)**Hanting Chen, Yunhe Wang, Jianyuan Guo et al.*115 citations*
51. **[Mind2Web: Towards a Generalist Agent for the Web](https://md.research.elamur.ai/free/en/papers/deng-2023-mind2web-towards-generalist-agent-web/)**Xiang Deng, Yu Gu, Boyuan Zheng et al.*111 citations · our summary*
52. **[OpenAGI: When LLM Meets Domain Experts ↗](https://doi.org/10.52202/075280-0242)**Yingqiang Ge, Wenyue Hua, Kai Mei et al.*108 citations*
53. **[Faith and Fate: Limits of Transformers on Compositionality](https://md.research.elamur.ai/free/en/papers/dziri-2023-faith-fate-limits-transformers-compositionality/)**Nouha Dziri, Ximing Lu, Melanie Sclar et al.*106 citations · our summary*
54. **[DataComp: In search of the next generation of multimodal datasets ↗](https://doi.org/10.52202/075280-1179)**Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang et al.*105 citations*
55. **[GenEval: An object-focused framework for evaluating text-to-image alignment ↗](https://doi.org/10.52202/075280-2270)**Dhruba Ghosh, Hannaneh Hajishirzi, Ludwig Schmidt*103 citations*
56. **[Inference-Time Intervention: Eliciting Truthful Answers from a Language Model](https://md.research.elamur.ai/free/en/papers/li-2023-inference-time-intervention-eliciting-truthful/)**Kenneth Li, Oam Patel, Fernanda Viégas et al.*102 citations · our summary*
57. **[PromptIR: Prompting for All-in-One Image Restoration ↗](https://doi.org/10.52202/075280-3121)**Vaishnav Potlapalli, Syed Waqas Zamir, Fahad Shahbaz Khan et al.*102 citations*
58. **[Segment Anything in High Quality ↗](https://doi.org/10.52202/075280-1303)**Lei Ke, Mingqiao Ye, Martin Danelljan et al.*102 citations*
59. **[FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective ↗](https://doi.org/10.52202/075280-3050)**Kun Yi, Qi Zhang, Wei Fan et al.*101 citations*
60. **[H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models ↗](https://doi.org/10.52202/075280-1506)**Zhenyu Zhang, Ying Sheng, Tianyi Zhou et al.*101 citations*
61. **[Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving ↗](https://doi.org/10.52202/075280-2809)**Xiaoyu Tian, Tao Jiang, Longfei Yun et al.*100 citations*
62. **[Emergent Correspondence from Image Diffusion ↗](https://doi.org/10.52202/075280-0068)**Luming Tang, Menglin Jia, Qianqian Wang et al.*99 citations*
63. **[GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image ↗](https://doi.org/10.52202/075280-3398)**Mingjian Zhu, Hanting Chen, Qiangyu Yan et al.*99 citations*
64. **[What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks ↗](https://doi.org/10.52202/075280-2607)**Taicheng Guo, Kehan Guo, Bozhao Nan et al.*94 citations*
65. **[DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data ↗](https://doi.org/10.52202/075280-2208)**Stephanie Fu, Netanel Y. Tamir, Shobhita Sundaram et al.*92 citations*
66. **[SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model ↗](https://doi.org/10.52202/075280-0385)**Di Wang, Jing Zhang, Bo Du et al.*92 citations*
67. **[Spike-driven Transformer ↗](https://doi.org/10.52202/075280-2798)**Man Yao, Jiakui Hu, Zhaokun Zhou et al.*92 citations*
68. **[VideoComposer: Compositional Video Synthesis with Motion Controllability ↗](https://doi.org/10.52202/075280-0334)**Xiang Wang, Hangjie Yuan, Shiwei Zhang et al.*88 citations*
69. **[Scaling Open-Vocabulary Object Detection ↗](https://doi.org/10.52202/075280-3191)**Matthias Minderer, Alexey A. Gritsenko, Neil Houlsby*87 citations*
70. **[DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models](https://md.research.elamur.ai/free/en/papers/wang-2023-decodingtrust-comprehensive-assessment-trustworthiness-gpt/)**Boxin Wang, Weixin Chen, Hengzhi Pei et al.*86 citations · our summary*
71. **[On the Planning Abilities of Large Language Models - A Critical Investigation ↗](https://doi.org/10.52202/075280-3320)**Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan et al.*86 citations*
72. **[Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias](https://md.research.elamur.ai/free/en/papers/yu-2023-large-language-model-attributed-training/)**Yue Yu, Yuchen Zhuang, Jieyu Zhang et al.*83 citations · our summary*
73. **[Towards Better Dynamic Graph Learning: New Architecture and Unified Library ↗](https://doi.org/10.52202/075280-2960)**Le Yu, Leilei Sun, Bowen Du et al.*83 citations*
74. **[Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors ↗](https://doi.org/10.52202/075280-0538)**Yong Liu, Chenyu Li, Jianmin Wang et al.*82 citations*
75. **[Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping ↗](https://doi.org/10.52202/075280-1339)**Chunming He, Kai Li, Yachao Zhang et al.*82 citations*
76. **[Unexpected Improvements to Expected Improvement for Bayesian Optimization ↗](https://doi.org/10.52202/075280-0904)**Sebastian Ament, Samuel Daulton, David Eriksson et al.*81 citations*
77. **[Language Models can Solve Computer Tasks](https://md.research.elamur.ai/free/en/papers/kim-2023-language-models-solve-computer-tasks/)**Geunwoo Kim, Pierre Baldi, Stephen McAleer*80 citations · our summary*
78. **[TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/)**Prateek Yadav, Derek Tam, Leshem Choshen et al.*79 citations · our summary*
79. **[Deep Patch Visual Odometry ↗](https://doi.org/10.52202/075280-1696)**Zachary Teed, Lahav Lipson, Jia Hao Deng*78 citations*
80. **[DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection ↗](https://doi.org/10.52202/075280-0201)**Zhiyuan Yan, Yong Zhang, Zhiyuan Yan et al.*76 citations*
81. **[MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing ↗](https://doi.org/10.52202/075280-1365)**Kai Zhang, Lingbo Mo, Wenhu Chen et al.*75 citations*
82. **[Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision](https://md.research.elamur.ai/free/en/papers/sun-2023-principle-driven-self-alignment-language/)**Zhiqing Sun, Yikang Shen, Qinhong Zhou et al.*75 citations · our summary*
83. **[Large Language Models as Commonsense Knowledge for Large-Scale Task Planning ↗](https://doi.org/10.52202/075280-1387)**Zirui Zhao, Wee Sun Lee, David Hsu*74 citations*
84. **[On Evaluating Adversarial Robustness of Large Vision-Language Models ↗](https://doi.org/10.52202/075280-2355)**Yunqing Zhao, Tianyu Pang, Chao Du et al.*74 citations*
85. **[EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding ↗](https://doi.org/10.52202/075280-2004)**Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik*72 citations*
86. **[SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling ↗](https://doi.org/10.52202/075280-1306)**Jiaxiang Dong, Haixu Wu, Haoran Zhang et al.*72 citations*
87. **[A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence ↗](https://doi.org/10.52202/075280-1973)**Junyi Zhang, Charles Herrmann, Junhwa Hur et al.*71 citations*
88. **[BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset](https://md.research.elamur.ai/free/en/papers/ji-2023-beavertails-towards-improved-safety-alignment/)**Jiaming Ji, Mickel Liu, Josef Dai et al.*70 citations · our summary*
89. **[OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-obelics-open-web-scale-filtered/)**Hugo Laurençon, Lucile Saulnier, Léo Tronchon et al.*70 citations · our summary*
90. **[UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models ↗](https://doi.org/10.52202/075280-2170)**Wenliang Zhao, Lujia Bai, Yongming Rao et al.*70 citations*
91. **[AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/)**Yann Dubois, Xuechen Li, Rohan Taori et al.*68 citations · our summary*
92. **[Diffusion Self-Guidance for Controllable Image Generation ↗](https://doi.org/10.52202/075280-0714)**Dave Epstein, Allan Jabri, Ben Poole et al.*68 citations*
93. **[PointGPT: Auto-regressively Generative Pre-training from Point Clouds ↗](https://doi.org/10.52202/075280-1291)**Guangyan Chen, Meiling Wang, Yi Ping Yang et al.*68 citations*
94. **[Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors ↗](https://doi.org/10.52202/075280-1073)**Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode et al.*68 citations*
95. **[LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models ↗](https://doi.org/10.52202/075280-1915)**Neel Guha, Julian Nyarko, Daniel E. Ho et al.*67 citations*
96. **[Optimizing Prompts for Text-to-Image Generation ↗](https://doi.org/10.52202/075280-2923)**Yaru Hao, Zewen Chi, Li Dong et al.*67 citations*
97. **[Realistic Synthetic Financial Transactions for Anti-Money Laundering Models ↗](https://doi.org/10.52202/075280-1300)**Erik Altman, Jovan Blanuša, Luc Von Niederhäusern et al.*67 citations*
98. **[Towards Automated Circuit Discovery for Mechanistic Interpretability ↗](https://doi.org/10.52202/075280-0719)**Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch et al.*67 citations*
99. **[Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale ↗](https://doi.org/10.52202/075280-0618)**Matthew Le, Apoorv Vyas, Bowen Shi et al.*67 citations*
100. **[Fine-Tuning Language Models with Just Forward Passes ↗](https://doi.org/10.52202/075280-2308)**Sadhika Malladi, Tianyu Gao, Eshaan Nichani et al.*66 citations*

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