NIPS
Interpretability workshop
Interpretable AI: Past, Present and Future - Interpretable AI Workshop
NeurIPS 2024 Workshop
https://interpretable-ai-workshop.github.io/
NeurIPS 2025
NeurIPS 2025 Papers Explorer
Fast search and filtering UI for NeurIPS 2025 accepted papers
https://neurips2025-explorer.vercel.app/
NeurIPS 2025 Papers
https://jalammar.github.io/assets/neurips_2025.html
AI generated
NeurIPS papers contained 100+ AI-hallucinated citations, new report claims | Fortune
An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic research.
https://fortune.com/2026/01/21/neurips-ai-conferences-research-papers-hallucinations/

2026
AI-Generated Papers in the NeurIPS 2026 Position Paper Track
This year, the NeurIPS 2026 Position Paper Track made the decision to require that all papers be substantially human-written, with AI used for only copy-editing or similar peripheral changes to the main text. While we recognize that thoughtful use of AI can result in productivity gains in research, the use of AI to write papers creates an acute risk for the peer review system. As Position Paper Track chairs, we took a conservative approach in policy this year as we believe in argumentative work like position papers, excessive use of AI in writing submitted papers has little benefit for the research community as a whole. AI-generated text is often slick, but can depart significantly from the authors’ original intention. In this case, submitting AI-generated text for peer review externalises the cost of verifying that work, imposing it on reviewers. Where AI-generated text is not itself incoherent or otherwise misguided, this raises questions about the appropriate attribution of credit.
https://blog.neurips.cc/2026/06/02/ai-generated-papers-in-the-neurips-2026-position-paper-track/

Seonglae Cho