Search Results for author: Steven Jecmen

Found 7 papers, 6 papers with code

On the Detection of Reviewer-Author Collusion Rings From Paper Bidding

1 code implementation12 Feb 2024 Steven Jecmen, Nihar B. Shah, Fei Fang, Leman Akoglu

A major threat to the peer-review systems of computer science conferences is the existence of "collusion rings" between reviewers.

Fraud Detection text similarity

Counterfactual Evaluation of Peer-Review Assignment Policies

1 code implementation NeurIPS 2023 Martin Saveski, Steven Jecmen, Nihar B. Shah, Johan Ugander

We consider estimates of (i) the effect on review quality when changing weights in the assignment algorithm, e. g., weighting reviewers' bids vs. textual similarity (between the review's past papers and the submission), and (ii) the "cost of randomization", capturing the difference in expected quality between the perturbed and unperturbed optimal match.

counterfactual Off-policy evaluation +1

Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment

no code implementations22 Jul 2022 Steven Jecmen, Nihar B. Shah, Fei Fang, Vincent Conitzer

Many conferences rely on paper bidding as a key component of their reviewer assignment procedure.

A Dataset on Malicious Paper Bidding in Peer Review

1 code implementation24 Jun 2022 Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang

The performance of these detection algorithms can be taken as a baseline for future research on detecting malicious bidding.

Descriptive

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design

1 code implementation13 Aug 2021 Steven Jecmen, Hanrui Zhang, Ryan Liu, Fei Fang, Vincent Conitzer, Nihar B. Shah

Many scientific conferences employ a two-phase paper review process, where some papers are assigned additional reviewers after the initial reviews are submitted.

Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments

2 code implementations NeurIPS 2020 Steven Jecmen, Hanrui Zhang, Ryan Liu, Nihar B. Shah, Vincent Conitzer, Fei Fang

We further consider the problem of restricting the joint probability that certain suspect pairs of reviewers are assigned to certain papers, and show that this problem is NP-hard for arbitrary constraints on these joint probabilities but efficiently solvable for a practical special case.

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