๐คReddit r/MachineLearningโขStalecollected in 20m
ICML Reviewer Drops Score After Rebuttal
๐กICML score flip post-rebuttal: rejection signal or normal? Key for submitters.
โก 30-Second TL;DR
What Changed
Reviewer acknowledged rebuttal and upped score to 5(3)
Why It Matters
Reveals score volatility in ICML reviews, urging researchers not to over-rely on rebuttal gains before final decisions.
What To Do Next
Check OpenReview frequently for ICML score updates during AC discussions.
Who should care:Researchers & Academics
๐ง Deep Insight
AI-generated analysis for this event.
๐ Enhanced Key Takeaways
- โขICML 2026 utilizes a multi-stage review process where Area Chairs (ACs) have the authority to override or adjust reviewer scores based on private discussions, often leading to score volatility post-rebuttal.
- โขThe 'confidence' score (the number in parentheses) is a critical weighting factor in the final decision-making process, meaning a score drop from a high-confidence reviewer carries significantly more weight than a change from a low-confidence reviewer.
- โขCommunity discourse on platforms like OpenReview and Reddit suggests that 'score sniping' or late-stage score adjustments by ACs are a recurring point of contention in top-tier AI conference peer review cycles.
๐ฎ Future ImplicationsAI analysis grounded in cited sources
ICML will implement stricter transparency requirements for AC score adjustments.
Increasing community pressure regarding the lack of visibility into post-rebuttal score changes is likely to force policy updates in future conference cycles.
The reliance on numerical scores for paper acceptance will decrease.
The volatility of scores during the AC discussion phase highlights the inadequacy of simple averaging as a proxy for scientific merit, prompting a shift toward more qualitative assessment models.
โณ Timeline
2026-01
ICML 2026 paper submission deadline.
2026-03
Initial reviewer scores released to authors.
2026-04
Rebuttal phase concluded and AC discussion period initiated.
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Original source: Reddit r/MachineLearning โ