---
title: "Conference on Neural Information Processing Systems"
description: "Conference on Neural Information Processing Systems (NeurIPS): 101 works in the Elamur Research library (2009–2025), 41,383 citations; its topics…"
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# Conference on Neural Information Processing Systems (NeurIPS)

Conference series Published by [Cornell University](https://md.research.elamur.ai/free/en/publishers/cornell-university/)

- [OpenAlex](https://openalex.org/S4363606243)
- [ISSN 1049-5258](https://portal.issn.org/resource/ISSN/1049-5258)

[**101** works in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/works/) · [**41,383** citations of these works](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/works/) · [**24,939** citations in our library](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/works/) · [**2009–2025** years of the works here](#years)

## Works by year

Works in our library by year 101 dated works from 2009 to 2025; the busiest year is 2023 with 44.

**The numbers**

| Year | Works |
| --- | --- |
| 2025 | 5 |
| 2024 | 30 |
| 2023 | 44 |
| 2022 | 16 |
| 2021 | 1 |
| 2020 | 2 |
| 2016 | 1 |
| 2013 | 1 |
| 2009 | 1 |

## Top topics

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

[Language models & pretraining (55)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (21)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks (9)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language (8)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety (6)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Code & programming languages (5)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Question answering (3)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Information retrieval & search (3)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Efficient models & compression (3)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Semantic parsing & meaning representation (2)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/)

**2 more topics**

[Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Computer Science (98)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (75)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (11)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Mathematics (4)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Engineering (3)](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Psychology (3)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Business, Management and Accounting (1)](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

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

[🧑‍🔬**Colin Raffel**4 works here · 1,635 citations](https://md.research.elamur.ai/free/en/authors/colin-raffel/) · [🧑‍🔬**Karthik Narasimhan**3 works here · 3,096 citations](https://md.research.elamur.ai/free/en/authors/karthik-narasimhan/) · [🧑‍🔬**Shunyu Yao**3 works here · 3,096 citations](https://md.research.elamur.ai/free/en/authors/shunyu-yao/) · [🧑‍🔬**Liwei Jiang**3 works here · 632 citations](https://md.research.elamur.ai/free/en/authors/liwei-jiang/) · [🧑‍🔬**Yejin Choi**3 works here · 495 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Luke Zettlemoyer**2 works here · 2,203 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Xavier Bresson**2 works here · 2,031 citations](https://md.research.elamur.ai/free/en/authors/xavier-bresson/) · [🧑‍🔬**Yuhuai Wu**2 works here · 1,716 citations](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/) · [🧑‍🔬**Joseph E. Gonzalez**2 works here · 1,237 citations](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) · [🧑‍🔬**Derek Tam**2 works here · 1,041 citations](https://md.research.elamur.ai/free/en/authors/derek-tam/) · [🧑‍🔬**Mohit Bansal**2 works here · 1,041 citations](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) · [🧑‍🔬**Jianfeng Gao**2 works here · 987 citations](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/)

## Top institutions

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

[🏢**Ant Group** Hangzhou · China 2 works here](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Nanjing University** Nanjing · China 2 works here](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Tsinghua University** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Rutgers, The State University of New Jersey** New Brunswick · United States 1 work here](https://md.research.elamur.ai/free/en/universities/rutgers-the-state-university-of-new-jersey/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**Beijing Institute of Technology** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 1 work here](https://md.research.elamur.ai/free/en/universities/korea-advanced-institute-of-science-and-technology/) · [🎓**National University of Defense Technology** Changsha · China 1 work here](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**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/)

## Works in our library (101)

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

1. [**Large language models are zero-shot reasoners**Takeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.*2022 · 3,780 citations*](https://md.research.elamur.ai/free/en/papers/kojima-2022-large-language-models-zero-shot/)
2. [**Reflexion: Language Agents with Verbal Reinforcement Learning**Noah Shinn, Federico Cassano, Edward Berman, et al.*2023 · 2,202 citations*](https://md.research.elamur.ai/free/en/papers/shinn-2023-reflexion-language-agents-verbal-reinforcement/)
3. [**Reading Tea Leaves: How Humans Interpret Topic Models**Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.*2009 · 2,037 citations*](https://md.research.elamur.ai/free/en/papers/chang-2009-reading-tea-leaves-humans-interpret-topic/)
4. [**Toolformer: Language Models Can Teach Themselves to Use Tools**Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.*2023 · 2,020 citations*](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/)
5. [**Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering**Michael Defferrard, Xavier Bresson, Pierre Vandergheynst*2016 · 1,797 citations*](https://md.research.elamur.ai/free/en/papers/defferrard-2016-convolutional-neural-networks-graphs-fast/)
6. [**wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations**Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.*2020 · 1,355 citations*](https://md.research.elamur.ai/free/en/papers/baevski-2020-wav2vec-2-0-framework-self/)
7. [**Big Bird: Transformers for Longer Sequences**Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.*2020 · 992 citations*](https://md.research.elamur.ai/free/en/papers/zaheer-2020-big-bird-transformers-longer-sequences/)
8. [**Solving Quantitative Reasoning Problems with Language Models**Aitor Lewkowycz, Anders Andreassen, David Dohan, et al.*2022 · 973 citations*](https://md.research.elamur.ai/free/en/papers/lewkowycz-2022-solving-quantitative-reasoning-problems-language/)
9. [**STaR: Bootstrapping Reasoning With Reasoning**Eric Zelikman, Yuhuai Wu, Jesse Mu, et al.*2022 · 743 citations*](https://md.research.elamur.ai/free/en/papers/zelikman-2022-star-bootstrapping-reasoning-reasoning/)
10. [**HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face**Yongliang Shen, Kaitao Song, Xu Tan, et al.*2023 · 737 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-hugginggpt-solving-ai-tasks-chatgpt/)
11. [**Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning**Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.*2022 · 735 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/)
12. [**MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark**Yubo Wang, Xueguang Ma, Ge Zhang, et al.*2024 · 731 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-mmlu-pro-more-robust-challenging/)
13. [**SGLang: Efficient Execution of Structured Language Model Programs**Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.*2023 · 710 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-sglang-efficient-execution-structured-language/)
14. [**CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society**Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.*2023 · 689 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-camel-communicative-agents-mind/)
15. [**LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 676 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/)
16. [**Jailbroken: How Does LLM Safety Training Fail?**Alexander Wei, Nika Haghtalab, Jacob Steinhardt*2023 · 659 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbroken-llm-safety-training-fail/)
17. [**Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation**Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.*2023 · 632 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-your-code-generated-chatgpt-really/)
18. [**Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting**Miles Turpin, Julian Michael, Ethan Perez, et al.*2023 · 568 citations*](https://md.research.elamur.ai/free/en/papers/turpin-2023-language-models-don-t-always/)
19. [**MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models**Chaoyou Fu, Peixian Chen, Yunhang Shen, et al.*2023 · 529 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-mme-comprehensive-evaluation-benchmark-multimodal/)
20. [**Gorilla: Large Language Model Connected with Massive APIs**Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.*2023 · 527 citations*](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/)
21. [**SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering**John Yang, Carlos E. Jimenez, Alexander Wettig, et al.*2024 · 507 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/)
22. [**Inference-Time Intervention: Eliciting Truthful Answers from a Language Model**Kenneth Li, Oam Patel, Fernanda Viegas, et al.*2023 · 473 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-inference-time-intervention-eliciting-truthful/)
23. [**LLM-Pruner: On the Structural Pruning of Large Language Models**Xinyin Ma, Gongfan Fang, Xinchao Wang*2023 · 447 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-llm-pruner-structural-pruning-large/)
24. [**Mathematical Capabilities of ChatGPT**Simon Frieder, Luca Pinchetti, Alexis Chevalier, et al.*2023 · 443 citations*](https://md.research.elamur.ai/free/en/papers/frieder-2023-mathematical-capabilities-chatgpt/)
25. [**AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 423 citations*](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/)

[See all 101 works →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/works/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.