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Many peer-review venues are using algorithms to assign submissions to reviewers.
A new measure of rank correlation
Maurice G Kendall · 1938
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The Matthew effect in science
Robert K Merton · 1968
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Automating the assignment of submitted manuscripts to reviewers
Susan T Dumais and Jakob Nielsen · 1992
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What makes a good reviewer and a good review for a general medical journal?
Nick Black, Susan Van Rooyen, Fiona Godlee, Richard Smith, and Stephen Evans · 1998
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The AI conference paper assignment problem
Judy Goldsmith and Robert H. Sloan · 2007
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Expertise modeling for matching papers with reviewers
David Mimno and Andrew McCallum · 2007
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What is the future of peer review? why is there fraud in science? is plagiarism out of control? why do scientists do bad things? is it all a case of: ” all that is necessary for the triumph of evil is that good men do nothing?”
Chris Triggle and David Triggle · 2007
Earlier work this paper cites.
An algorithm to determine peer-reviewers
Marko A. Rodriguez and Johan Bollen · 2008
Earlier work this paper cites.
Assigning papers to referees
N. Garg, T. Kavitha, A. Kumar, K. Mehlhorn, and J. Mestre · 2010
Earlier work this paper cites.
Subsift: a novel application of the vector space model to support the academic research process
Simon Price, Peter A Flach, and Sebastian Spiegler · 2010
Earlier work this paper cites.
Expertise matching via constraint-based optimization
Wenbin Tang, Jie Tang, and Chenhao Tan · 2010
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Peer-review in a world with rational scientists: Toward selection of the average
Stefan Thurner and Rudolf Hanel · 2011
Earlier work this paper cites.
SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson · 2012
Earlier work this paper cites.
Saint Matthew strikes again: An agent-based model of peer review and the scientific community structure
Flaminio Squazzoni and Claudio Gandelli · 2012
Earlier work this paper cites.
The Toronto Paper Matching System: An automated paper-reviewer assignment system, 2013
L. Charlin and R. S. Zemel · 2013
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On good and fair paper-reviewer assignment
Cheng Long, Raymond Wong, Yu Peng, and Liangliang Ye · 2013
Earlier work this paper cites.
A robust model for paper reviewer assignment
Xiang Liu, Torsten Suel, and Nasir Memon · 2014
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By the numbers: Track record, flawed reviews, journal space, and the fate of talented authors
Warren Thorngate and Wahida Chowdhury · 2014
Cited alongside, same era.
Is three better than one? Simulating the effect of reviewer selection and behavior on the quality and efficiency of peer review
Federico Bianchi and Flaminio Squazzoni · 2015
Cited alongside, same era.
Context-aware reviewer assignment for trust enhanced peer review
Lei Li, Yan Wang, Guanfeng Liu, Meng Wang, and Xindong Wu · 2015
Cited alongside, same era.
Expert suggestion for conference program committees
H. D. Tran, G. Cabanac, and G. Hubert · 2017
Cited alongside, same era.
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
Cited alongside, same era.
Design and analysis of the NIPS 2016 review process
Combating collusion rings is hard but possible
Niclas Boehmer, Robert Bredereck, and André Nichterlein · 2021
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PeerReview4All: Fair and accurate reviewer assignment in peer review
Ivan Stelmakh, Nihar Shah, and Aarti Singh · 2021
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Minimal-envy conference paper assignment: Formulation and a fast iterative algorithm
Mao Tan, Zhuocen Dai, Yuling Ren, Toby Walsh, and Martin Aleksandrov · 2021
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Making paper reviewing robust to bid manipulation attacks
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens Van Der Maaten, and Kilian Weinberger · 2021
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Strategyproofing peer assessment via partitioning: The price in terms of evaluators’ expertise
Komal Dhull, Steven Jecmen, Pravesh Kothari, and Nihar B Shah · 2022
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Nihar B Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, and Ulrike Von Luxburg · 2018
Cited alongside, same era.
PaRe: A paper-reviewer matching approach using a common topic space
Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, and JinJun Xiong · 2019
Cited alongside, same era.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
Cited alongside, same era.
Paper matching with local fairness constraints
Ari Kobren, Barna Saha, and Andrew McCallum · 2019
Cited alongside, same era.
Simple and effective paraphrastic similarity from parallel translations
John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-Kirkpatrick · 2019
Cited alongside, same era.
On strategyproof conference review
Yichong Xu, Han Zhao, Xiaofei Shi, and Nihar Shah · 2019
Cited alongside, same era.
Specter: Document-level representation learning using citation-informed transformers, 2020
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S. Weld · 2020
Cited alongside, same era.
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, and Fei Fang · 2022
Later among the works it cites.
Matching papers and reviewers at large conferences
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu, et al · 2022
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Paper-reviewer affinity modeling for openreview
OpenReview · 2022
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Fair allocation problems in reviewer assignment
Justin Payan · 2022
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Randomized transparency to mitigate collusions, August 2022a
Nihar B. Shah · 2022
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Scirepeval: A multi-format benchmark for scientific document representations
Amanpreet Singh, Mike D’Arcy, Arman Cohan, Doug Downey, and Sergey Feldman · 2022
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The semantic scholar academic graph (S2AG)
Alex D. Wade · 2022
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Paraphrastic representations at scale
John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-kirkpatrick · 2022
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Yue Zhao, Ajay Anand, and Gaurav Sharma · 2022
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Cold-start paper recommendation using multi-facet embedding
Haw-Shiuan Chang and Andrew McCallum · 2023
Closest in time.
Vulnerability of text-matching in ml/ai conference reviewer assignments to collusions
Jhih-Yi, Hsieh, Aditi Raghunathan, and Nihar B. Shah · 2024
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