NeurIPS 2025 Policy on the Use of Large Language Models
Program Chairs: Nancy Chen, Marzyeh Ghassemi, Piotr Koniusz, Razvan Pascanu, Hsuan-Tien Lin;
Assistant Program Chairs: Elena Burceanu, Junhao Dong, Zhengyuan Liu, Po-Yi Lu, Isha Puri
NeurIPS 2025 LLM Policy for Authors
Use of Large Language Models (LLMs): We welcome authors to use any tool that is suitable for preparing high-quality papers and research. However, we ask authors to keep in mind two important criteria. First, we expect authors to document their methodology clearly for upholding scientific rigorousness and transparency standards. The use of LLMs in implementing the method should be described in the experimental setup section (or equivalent) if it is an important, original, or non-standard component of the approach. The use of spell checkers and grammar suggestions, programming aid for editing purposes does not need to be documented. Second, authors are responsible for the entire content of the paper, including all text, figures, and references. Therefore, while authors are welcome to use any tool they wish for preparing and writing the paper, they must ensure that all content is correct and original.
All authors should take full responsibility to understand the advantages and limitations of using any tools and resources when preparing their scientific publications. Some (including free) tools may retain input data for further model training purposes, so authors should exercise caution to account for individual privacy considerations. High-level instructions could potentially result in hallucinations when generating plots, risking scientific integrity. It is the author’s responsibility to verify the tools are used in a scientifically responsible manner.
NeurIPS reserves the right to investigate at any time whether the Code of Conduct was adhered to, including after paper acceptance, publication, or the conference. If an investigation determines a violation, NeurIPS reserves the right to revoke the paper's publication status. Examples of such violations include content that is not scientifically sound (e.g. using references generated by an LLM without conducting the due diligence to verify correctness, existence and appropriateness in the manuscript’s context)..
FAQ
1. Can I use Large Language Models (LLMs) while preparing my paper?
Yes, you are welcome to use any tool, including LLMs, to prepare for your publications. However, you must describe the use of these tools clearly if they are part of your methodology. If you use tools (including LLMs) for editing purposes (e.g. checking grammar), you do not need to declare it in your manuscript.
2. If I used LLMs to help me prepare my manuscript, can I add it as one of the Authors?
No. Only humans are eligible to be authors. You, as an author, are fully responsible for all the content in your paper, including text, figures, and methodology, regardless of what tools (e.g., LLMs) you have used. You must ensure that:
- All content is correct (e.g., no citations of non-existent material) and original (e.g., no plagiarism or self-plagiarism)
- The content adheres to ethical and academic standards
3. Do I need to declare LLM usage if it’s just for writing or formatting?
No, if the LLM is used only for writing, editing, or formatting purposes and does not impact the core methodology, scientific rigorousness, or originality of the research, declaration is not required. Instead, we kindly ask you to report the usage in our statistical analysis survey so we can understand how emerging technology intertwines with research publication preparations.
NeurIPS 2025 LLM Policy for Reviewers
Existing Policy of Reviews for reviewers, ACs, and senior ACs remains unchanged (including but not limited to the code of conduct and academic integrity). You must keep everything relating to the review process confidential. Do not use ideas, code, or results from the submissions in your own work until they become publicly available. Do not talk about or share submissions with anyone or any LLMs. Code submitted for reviewing cannot be distributed (to anyone or to any LLM) or used for any other purpose.
FAQ
1. What is my responsibility regarding confidentiality in the review process?
You must keep all aspects of the review process confidential. Do not share, discuss, or disclose any information related to submissions with anyone or any LLMs.
2. Can I use ideas, code, or results from submissions in my own work?
No. You may only use ideas, code, or results from submissions (1) after they become publicly available, and (2) if the author has granted the appropriate permission/license that covers your intended usage.
3. Can I share code submitted for review?
No. Code submitted for reviewing cannot be distributed to anyone, including any LLM, nor used for any purpose other than the review process.
4. I often use LLMs to help me understand concepts and draft my writing. Can I use LLMs during the review process?
You cannot share the submission and the code given to you as a reviewer to anyone or any LLMs.
You can use resources (e.g. publications on Google Scholar, Wikipedia articles, interactions with LLMs and/or human experts without sharing the paper submissions) to enhance your understanding of certain concepts and to check the grammaticality and phrasing of your written review. Please exercise caution in these cases so you do not accidentally leak confidential information in the process.
Please remember that you are responsible for the quality and accuracy of your submitted review regardless of any tools, resources, or other help you used to construct the final review.