AAAI 2027 Reviewer Bidding and Assignment Integrity [D]

Reddit r/MachineLearning News

Summary

The article discusses collusion in the AAAI 2027 review process, particularly in reviewer assignment cycles, and critiques the lack of code publication in accepted papers at top AI conferences.

Recently, the AAAI 2027 organizers sent an email regarding collusion occurring during the review process, especially in the 2-cycles category (i.e., an author of Paper A reviews Paper B, while an author of Paper B reviews Paper A). Given the fact that most submissions come from a single country, there are higher chances that the assignment algorithm will naturally create 2-cycles among authors from that country. This, in turn, means that most authors involved in collusion could be from that country. I will not name that country; otherwise, I would be labelled as racist. By the way, did AAAI release statistics about the number of submissions, like they did last time? It is also good news that a major and prestigious conference like AAAI is acknowledging that collusion is happening. We all knew that this kind of collusion had been happening for years. There are papers accepted at top conferences such as NeurIPS, ICLR, AAAI, and ICML that do not even have their code published on GitHub. This forces other researchers in the community to spend substantial time reimplementing the code themselves if they want to reproduce the reported results. What are the views of other authors on this?
Original Article

Similar Articles

AAAI 2027 Review: No code submission? [D]

Reddit r/MachineLearning

A reviewer for AAAI 2027 expresses surprise at the low number of paper submissions with code, despite the conference's emphasis on reproducibility, and asks for opinions on whether lack of code should affect review scores.

NeurIPS 2026 AI-generated reviews [D]

Reddit r/MachineLearning

Discussion about the use of AI-generated reviews at NeurIPS 2026, including concerns over prompt injection and lack of consequences for reviewers using LLMs without proper oversight.