📰 Conference on Neural Information Processing Systems (NeurIPS)

📅 Works by year

🧭 Top topics

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

🧠 Language models & pretraining (55)🧮 Reasoning (21)📏 Evaluation & benchmarks (9)🖼️ Vision & language (8)🛡️ Bias, fairness & safety (6)💻 Code & programming languages (5)❓ Question answering (3)🔍 Information retrieval & search (3)🪶 Efficient models & compression (3) Semitic languages (2)🧾 Semantic parsing & meaning representation (2)😉 Implicature (1)✍️ Text generation (1)🌍 Multilingual & cross-lingual NLP (1)🌱 Low-resource languages (1)

📚 Fields

🖥️ Computer Science (98)🎭 Arts and Humanities (74)🤝 Social Sciences (12)➗ Mathematics (4)⚙️ Engineering (3)💭 Psychology (3)🧬 Biochemistry, Genetics and Molecular Biology (1)💼 Business, Management and Accounting (1)🎯 Decision Sciences (1)🩺 Medicine (1)🧠 Neuroscience (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🏢Ant GroupHangzhou · China2 works here🎓Nanjing UniversityNanjing · China2 works here🎓Tsinghua UniversityBeijing · China2 works here🎓Rutgers, The State University of New JerseyNew Brunswick · United States1 work here🎓University of North Carolina at Chapel HillChapel Hill · United States1 work here🎓Beijing Institute of TechnologyBeijing · China1 work here🏢MicrosoftRedmond · United States1 work here🏢GoogleMountain View · United States1 work here🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea1 work here🎓National University of Defense TechnologyChangsha · China1 work here🎓Chinese University of Hong KongHong Kong · China1 work here🎓University of California, Santa CruzSanta Cruz · United States1 work here

📄 Works in our library (101)

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

1. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,780 citations
2. Reflexion: Language Agents with Verbal Reinforcement LearningNoah Shinn, Federico Cassano, Edward Berman, et al.2023 · 2,202 citations
3. Reading Tea Leaves: How Humans Interpret Topic ModelsJonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,037 citations
4. Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,020 citations
5. Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringMichael Defferrard, Xavier Bresson, Pierre Vandergheynst2016 · 1,797 citations
6. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.2020 · 1,355 citations
7. Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 992 citations
8. Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan, et al.2022 · 973 citations
9. STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.2022 · 743 citations
10. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 737 citations
11. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
12. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
13. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
14. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 689 citations
15. LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayChunyuan Li, Cliff Wong, Sheng Zhang, et al.2023 · 676 citations
16. Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
17. 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
18. 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
19. MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsChaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 529 citations
20. Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 527 citations
21. SWE-agent: Agent-Computer Interfaces Enable Automated Software EngineeringJohn Yang, Carlos E. Jimenez, Alexander Wettig, et al.2024 · 507 citations
22. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 473 citations
23. LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao Wang2023 · 447 citations
24. Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 443 citations
25. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 423 citations

See all 101 works →

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

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