An Open Review of OpenReview: A Critical Analysis of the Machine
Learning Conference Review Process

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An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process

11 October 2020

Alex Valtchanov

Keshav Ganapathy

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Papers citing "An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process"

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Title
Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI Wenqing Wu Haixu Xi Chengzhi Zhang 213 5 0 21 May 2025
Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards Jaeho Kim Yunseok Lee Seulki Lee 67 1 0 08 May 2025
(De)Noise: Moderating the Inconsistency Between Human Decision-Makers Nina Grgić-Hlavca Junaid Ali Krishna P. Gummadi Jennifer Wortman Vaughan 80 2 0 15 Jul 2024
Automatic Analysis of Substantiation in Scientific Peer Reviews Yanzhu Guo Guokan Shang Virgile Rennard Michalis Vazirgiannis Chloé Clavel 75 8 0 20 Nov 2023
Unveiling the Sentinels: Assessing AI Performance in Cybersecurity Peer Review Liang Niu Nian Xue Christina Pöpper 61 3 0 11 Sep 2023
Artificial intelligence technologies to support research assessment: A review K. Kousha M. Thelwall 52 5 0 11 Dec 2022
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach Jiayao Zhang Hongming Zhang Zhun Deng Dan Roth 84 16 0 07 Nov 2022
ReAct: A Review Comment Dataset for Actionability (and more) G. Choudhary Natwar Modani Nitish Maurya 52 3 0 02 Oct 2022
A Siren Song of Open Source Reproducibility Edward Raff Andrew L. Farris 90 9 0 09 Apr 2022
Calibration with Privacy in Peer Review Wenxin Ding Gautam Kamath Weina Wang Nihar B. Shah 77 7 0 27 Jan 2022
Some Ethical Issues in the Review Process of Machine Learning Conferences Alessio Russo OODD 21 6 0 01 Jun 2021