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In the peer review process of top-tier machine learning (ML) and artificial intelligence (AI) conferences, reviewers are assigned to papers through automated methods.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Yoav Benjamini and Yosef Hochberg · 1995
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Expertise modeling for matching papers with reviewers
David Mimno and Andrew McCallum · 2007
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The Toronto Paper Matching System: An automated paper-reviewer assignment system
L. Charlin and R. S. Zemel · 2013
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The toronto paper matching system: an automated paper-reviewer assignment system
Laurent Charlin and Richard Zemel · 2013
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HotFlip: White-box adversarial examples for text classification
Javid Ebrahimi, Anyi Rao, Daniel Lowd, and Dejing Dou · 2017
Earlier work this paper cites.
PDF mirage: Content masking attack against Information-Based online services
Ian Markwood, Dakun Shen, Yao Liu, and Zhuo Lu · 2017
Earlier work this paper cites.
K-loop free assignment in conference review systems
Longhua Guo, Jie Wu, Wei Chang, Jun Wu, and Jianhua Li · 2018
Earlier work this paper cites.
The sigmod 2019 research track reviewing system
Anastasia Ailamaki, Periklis Chrysogelos, Amol Deshpande, and Tim Kraska · 2019
Earlier work this paper cites.
Paper matching with local fairness constraints
Ari Kobren, Barna Saha, and Andrew McCallum · 2019
Earlier work this paper cites.
PDFPhantom: Exploiting pdf attacks against academic conferences’ paper submission process with counterattack
Dat Tran and Chetan Jaiswal · 2019
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Simple and effective paraphrastic similarity from parallel translations
John Wieting, Kevin Gimpel, Graham Neubig, and Taylor Berg-Kirkpatrick · 2019
Earlier work this paper cites.
SPECTER: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S Weld · 2020
Earlier work this paper cites.
Is BERT really robust? a strong baseline for natural language attack on text classification and entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou, and Peter Szolovits · 2020
Cited alongside, same era.
Mitigating manipulation in peer review via randomized reviewer assignments
Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar Shah, Vincent Conitzer, and Fei Fang · 2020
Cited alongside, same era.
Bert-attack: Adversarial attack against bert using bert
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, and Xipeng Qiu · 2020
Cited alongside, same era.
Collusion rings threaten the integrity of computer science research
Michael L Littman · 2021
Cited alongside, same era.
PeerReview4All: Fair and accurate reviewer assignment in peer review
Ivan Stelmakh, Nihar Shah, and Aarti Singh · 2021
Cited alongside, same era.
Challenges, experiments, and computational solutions in peer review
Nihar B Shah · 2022
Later among the works it cites.
No more reviewer# 2: Subverting automatic paper-reviewer assignment using adversarial learning
Thorsten Eisenhofer, Erwin Quiring, Jonas Möller, Doreen Riepel, Thorsten Holz, and Konrad Rieck · 2023
Later among the works it cites.
A dataset on malicious paper bidding in peer review
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, and Fei Fang · 2023
Later among the works it cites.
Editable user profiles for controllable text recommendation
Sheshera Mysore, Mahmood Jasim, Andrew McCallum, and Hamed Zamani · 2023
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Knuth: Computers and typesetting, 2021
Andrew McCallum Haw-Shiuan Chang · 2024
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On the detection of reviewer-author collusion rings from paper bidding
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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
Cited alongside, same era.
Combating collusion rings is hard but possible
Niclas Boehmer, Robert Bredereck, and André Nichterlein · 2022
Cited alongside, same era.
Tradeoffs in preventing manipulation in paper bidding for reviewer assignment
Steven Jecmen, Nihar B Shah, Fei Fang, and Vincent Conitzer · 2022
Cited alongside, same era.
Neighborhood contrastive learning for scientific document representations with citation embeddings
M Ostendorff, N Rethmeier, I Augenstein, et al · 2022
Cited alongside, same era.
I will have order! optimizing orders for fair reviewer assignment
Justin Payan and Yair Zick · 2022
Cited alongside, same era.
Scirepeval: A multi-format benchmark for scientific document representations
Amanpreet Singh, Mike D’Arcy, Arman Cohan, Doug Downey, and Sergey Feldman · 2022
Cited alongside, same era.
Steven Jecmen, Nihar B Shah, Fei Fang, and Leman Akoglu · 2024
Closest in time.
Matching papers and reviewers at large conferences
Kevin Leyton-Brown, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, and Dinesh Raghu · 2024
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Slide from ICLR 2024 program chair presentation, 2024
ICLR 2024 Program Chairs · 2024
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Potential organized fraud in ACM/IEEE computer architecture conferences, 2020
T. N. Vijaykumar · 2024
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Potential organized fraud in on-going ASPLOS reviews, 2020
T. N. Vijaykumar · 2024
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A one-size-fits-all approach to improving randomness in paper assignment
Yixuan Xu, Steven Jecmen, Zimeng Song, and Fei Fang · 2024
Closest in time.