---
title: "NeurIPS 2023 — accepted papers — Elamur Research"
description: "NeurIPS 2023 — accepted papers: 49 papers in the Elamur Research library (New Orleans, United States), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/"
---
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[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / 2023

# 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.

[**3,540** papers in the proceedings](#all) · [**49** works in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/works/) · [**19,350** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/works/)**New Orleans, United States** where it was held**10–16 December 2023** when

## Most cited papers

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

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*

## All accepted papers (3,540)

The most cited first; 49 with our summary link to their page here, the others to the original.

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*

[See all 3,540 papers in NeurIPS 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/)

## Papers with our summary in our library (49)

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

1. **[Reflexion: Language Agents with Verbal Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/shinn-2023-reflexion-language-agents-verbal-reinforcement/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Noah Shinn, Federico Cassano, Edward Berman, et al.*2023 · 2,204 citations*
2. **[Toolformer: Language Models Can Teach Themselves to Use Tools](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.*2023 · 2,024 citations*
3. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yongliang Shen, Kaitao Song, Xu Tan, et al.*2023 · 740 citations*
4. **[SGLang: Efficient Execution of Structured Language Model Programs](https://md.research.elamur.ai/free/en/papers/zheng-2023-sglang-efficient-execution-structured-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.*2023 · 710 citations*
5. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.*2023 · 692 citations*
6. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 680 citations*
7. **[Jailbroken: How Does LLM Safety Training Fail?](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbroken-llm-safety-training-fail/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Alexander Wei, Nika Haghtalab, Jacob Steinhardt*2023 · 659 citations*
8. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.*2023 · 632 citations*
9. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Miles Turpin, Julian Michael, Ethan Perez, et al.*2023 · 568 citations*
10. **[MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/fu-2023-mme-comprehensive-evaluation-benchmark-multimodal/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chaoyou Fu, Peixian Chen, Yunhang Shen, et al.*2023 · 529 citations*
11. **[Gorilla: Large Language Model Connected with Massive APIs](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.*2023 · 529 citations*
12. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kenneth Li, Oam Patel, Fernanda Viegas, et al.*2023 · 473 citations*
13. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xinyin Ma, Gongfan Fang, Xinchao Wang*2023 · 448 citations*
14. **[Mathematical Capabilities of ChatGPT](https://md.research.elamur.ai/free/en/papers/frieder-2023-mathematical-capabilities-chatgpt/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Simon Frieder, Luca Pinchetti, Alexis Chevalier, et al.*2023 · 446 citations*
15. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 424 citations*
16. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jinyang Li, Binyuan Hui, Ge Qu, et al.*2023 · 421 citations*
17. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Mohammadreza Pourreza, Davood Rafiei*2023 · 398 citations*
18. **[Mind2Web: Towards a Generalist Agent for the Web](https://md.research.elamur.ai/free/en/papers/deng-2023-mind2web-towards-generalist-agent-web/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiang Deng, Yu Gu, Boyuan Zheng, et al.*2023 · 376 citations*
19. **[CogVLM: Visual Expert for Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-cogvlm-visual-expert-pretrained/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.*2023 · 373 citations*
20. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiaming Ji, Mickel Liu, Juntao Dai, et al.*2023 · 352 citations*
21. **[Are Emergent Abilities of Large Language Models a Mirage?](https://md.research.elamur.ai/free/en/papers/schaeffer-2023-emergent-abilities-large-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Rylan Schaeffer, Brando Miranda, Sanmi Koyejo*2023 · 323 citations*
22. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shaohan Huang, Li Dong, Wenhui Wang, et al.*2023 · 322 citations*
23. **[Faith and Fate: Limits of Transformers on Compositionality](https://md.research.elamur.ai/free/en/papers/dziri-2023-faith-fate-limits-transformers-compositionality/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nouha Dziri, Ximing Lu, Melanie Sclar, et al.*2023 · 313 citations*
24. **[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Pan Lu, Baolin Peng, Hao Cheng, et al.*2023 · 311 citations*
25. **[TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Prateek Yadav, Derek Tam, Leshem Choshen, et al.*2023 · 308 citations*

[See all 49 works in NeurIPS 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/works/)

## Top topics

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

[Language models & pretraining (29)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (10)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety (5)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Code & programming languages (3)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Vision & language (3)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search (2)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Semantic parsing & meaning representation (2)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Computer Science (47)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (33)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (7)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (3)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Mathematics (2)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Karthik Narasimhan**2 works here · 2,287 citations](https://md.research.elamur.ai/free/en/authors/karthik-narasimhan/) · [🧑‍🔬**Shunyu Yao**2 works here · 2,287 citations](https://md.research.elamur.ai/free/en/authors/shunyu-yao/) · [🧑‍🔬**Joseph E. Gonzalez**2 works here · 1,239 citations](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) · [🧑‍🔬**Jianfeng Gao**2 works here · 991 citations](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) · [🧑‍🔬**Rylan Schaeffer**2 works here · 569 citations](https://md.research.elamur.ai/free/en/authors/rylan-schaeffer/) · [🧑‍🔬**Bill Yuchen Lin**2 works here · 418 citations](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/) · [🧑‍🔬**Chandra Bhagavatula**2 works here · 418 citations](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/) · [🧑‍🔬**Chao Zhang**2 works here · 375 citations](https://md.research.elamur.ai/free/en/authors/chao-zhang/) · [🧑‍🔬**Yuchen Zhuang**2 works here · 375 citations](https://md.research.elamur.ai/free/en/authors/yuchen-zhuang/) · [🧑‍🔬**Yue Yu**2 works here · 375 citations](https://md.research.elamur.ai/free/en/authors/yue-yu/) · [🧑‍🔬**Noah D. Goodman**2 works here · 240 citations](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) · [🧑‍🔬**Noah Shinn**1 work here · 2,204 citations](https://md.research.elamur.ai/free/en/authors/noah-shinn/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Beijing Institute of Technology** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**University of California, Santa Cruz** Santa Cruz · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-cruz/) · [🎓**Xiamen University** Xiamen · China 1 work here](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🏢**Tencent** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/tencent/) · [🔬**Institute of Automation** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**Nanjing University** Nanjing · China 1 work here](https://md.research.elamur.ai/free/en/universities/nanjing-university/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)
- [next → NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- [↑ back to NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)