ICML Reviewer Drops Score After Rebuttal
💡ICML score flip post-rebuttal: rejection signal or normal? Key for submitters.
⚡ 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.
Key Points
- •Reviewer acknowledged rebuttal and upped score to 5(3)
- •Score reverted to 4 during AC reviewer discussion
- •Average score fell from 4 to 3.75, sparking rejection fears
🧠 Deep Insight
AI-generated analysis for this event — not the original article.
🔑 Enhanced Key Takeaways
- •ICML 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.
- •The '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.
- •Community 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.
🔮 Future ImplicationsAI analysis grounded in cited sources
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Original source: Reddit r/MachineLearning ↗
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