Story
2% of ICML papers desk rejected because the authors used LLM in their reviews
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Overview
AI is becoming integral to researchers' workflows but poses risks to the integrity of peer review if misused. Conferences need to establish rules and policies to address these challenges and enforce disciplinary actions for violations.
Summary from blog.icml.cc.
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Community reactions
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Hacker News · blog.icml.cc
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-03-19.
- Praise: The detection method for LLM use in reviews demonstrates a robust approach that could enhance the integrity of the peer review process in AI research.
- Praise: The fact that only 2% of papers were desk rejected indicates that most authors are adhering to the guidelines, which reflects positively on the community's commitment to ethical standards.
- Concern: The incident highlights a troubling trend where authors who publicly criticize LLMs may secretly rely on them, raising questions about transparency in the research community.
- Concern: The conservative rejection approach suggests that the actual misuse of LLMs in reviews could be significantly higher, indicating a potential crisis of trust in the review process.