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English(EN) The Review Lottery: Benchmarking an Observational Estimator of Peer-Review Noise (ICLR 2017-2025)

AI会议同行评审质量分析:分歧率高,未发现下降 · 跟踪2个来源

两篇新的arXiv论文分析了AI会议同行评审的质量和一致性。第一篇论文《评审彩票》使用2017-2025年ICLR数据的观察性估计器,发现存在显著的分歧率,表明23-30%的论文在更换审稿人后,其录用/拒绝决定可能会被翻转。第二篇论文《同行评审真的在衰落吗?》分析了ICLR、NeurIPS和ACL,开发了一个新的框架来量化评审质量。该研究反驳了衰落的论调,发现中位数评审质量随时间没有持续下降,并为相关担忧提出了替代性解释。 AI

影响 这些研究为AI领域科学评估的可靠性提供了关键见解,可能影响未来的评审流程以及AI研究的可信度。

排序理由 两篇在arXiv上发表的学术论文,分析了AI会议的同行评审质量。

在 arXiv cs.AI 阅读 →

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AI会议同行评审质量分析:分歧率高,未发现下降 · 跟踪2个来源

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两篇在arXiv上发表的学术论文,分析了AI会议的同行评审质量。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Feilian Huang ·

    审稿抽签:对同行评审噪音的观察性估计器的基准测试 (ICLR 2017-2025)

    arXiv:2610.06591v2 Announce Type: replace Abstract: How much of a conference accept/reject decision would change if the same paper were reviewed by a different set of reviewers? Running a second independent program committee is the gold standard for answering this, but it is proh…

  2. arXiv cs.CL TIER_1 English(EN) · Ilia Kuznetsov, Rohan Nayak, Alla Rozovskaya, Iryna Gurevych ·

    同行评审真的在衰落吗?分析各场馆和时间的评审质量

    arXiv:2601.15172v2 Announce Type: replace Abstract: Peer review is at the heart of modern science. As submission numbers rise and research communities grow, the decline in review quality is a popular narrative and a common concern. Yet, is it true? Review quality is difficult to …