How do Authors' Perceptions of their Papers Compare with Co-authors'
Perceptions and Peer-review Decisions?

How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?

22 November 2022

Yann N. Dauphin

Jennifer Wortman Vaughan

Papers citing "How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?"

6 / 6 papers shown

Title
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review Buxin Su Jiayao Zhang Natalie Collina Yuling Yan Didong Li Kyunghyun Cho Jianqing Fan Aaron Roth Weijie J. Su 19 4 0 24 Aug 2024
Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment A. Beygelzimer Yann N. Dauphin Percy Liang J. W. Vaughan 20 7 0 05 Jun 2023
ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing Ryan Liu Nihar B. Shah ELM 41 64 0 01 Jun 2023
Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment Corinna Cortes Neil D. Lawrence 37 43 0 20 Sep 2021
Auctions and Peer Prediction for Academic Peer Review Siddarth Srinivasan Jamie Morgenstern 16 4 0 27 Aug 2021
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions Ivan Stelmakh Charvi Rastogi Nihar B. Shah Aarti Singh Hal Daumé CML 24 24 0 30 Nov 2020