Core Viewpoint - The article discusses a significant bug in the OpenReview platform that exposed the identities and scores of reviewers for academic papers, leading to various reactions within the AI community [2]. Group 1: OpenReview Bug - The bug in OpenReview is system-level, allowing users to view reviewer information for papers from various AI conferences by altering a specific part of the URL [4]. - This incident has caused a stir in the academic community, revealing personal biases and competitive behaviors that resulted in low scores for some papers [2]. Group 2: Reviewer Suspicion Analysis - A total of 196 suspicious reviewers were identified, with 120 frequent collaboration relationships noted [5]. - The analysis highlighted several reviewers with a suspicion score of 5, indicating extremely inconsistent ratings and excessive rating ranges, with average ratings varying significantly [5]. - One reviewer had an average rating of 8.00 with a standard deviation of 0.00, suggesting lenient ratings and high confidence, raising concerns about the review process integrity [5].
OpenReview大瓜！原来我的评审低，是好友打的分
具身智能之心·2025-11-28 01:10