# On Strategyproof Conference Peer Review

@inproceedings{Xu2018OnSC, title={On Strategyproof Conference Peer Review}, author={Yichong Xu and H. Zhao and Xiaofei Shi and Nihar B. Shah}, booktitle={International Joint Conference on Artificial Intelligence}, year={2018} }

We consider peer review under a conference setting where there are conflicts between the reviewers and the submissions. Under such conflicts, reviewers can manipulate their reviews in a strategic manner to influence the final rankings of their own papers. Present-day peer-review systems are not designed to guard against such strategic behavior, beyond minimal (and insufficient) checks such as not assigning a paper to a conflicted reviewer. In this work, we address this problem through the lens…

## 34 Citations

### The Price of Strategyproofing Peer Assessment

- EconomicsArXiv
- 2022

Strategic behavior is a fundamental problem in a variety of real-world applications that require some form of peer assessment, such as peer grading of assignments, grant proposal review, conference…

### Strategyproofing Peer Assessment via Partitioning: The Price in Terms of Evaluators' Expertise

- Computer ScienceHCOMP
- 2022

This paper analyzes the price of strategyproofness: that is, the amount of compromise on the assigned evaluators' expertise required in order to get strategyProofness, and establishes several polynomial-time algorithms for strategyproof assignment along with assignment-quality guarantees.

### Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments

- Computer ScienceNeurIPS
- 2020

A (randomized) algorithm for reviewer assignment is presented that can optimally solve the reviewer-assignment problem under any given constraints on the probability of assignment for any reviewer-paper pair.

### PeerNomination: A novel peer selection algorithm to handle strategic and noisy assessments

- Computer ScienceArtif. Intell.
- 2023

### Peer Selection with Noisy Assessments

- Computer ScienceArXiv
- 2021

This paper extends PeerN nomination, the most accurate peer reviewing algorithm to date, into WeightedPeerNomination, which is able to handle noisy and inaccurate agents, and explicitly formulate assessors’ reliability weights in a way that does not violate strategyproofness.

### Group Fairness in Peer Review

- Computer Science
- 2022

A simple peer review model is studied, it is proved that it always admits a reviewing assignment in the core, and an efficient algorithm is designed to find one such assignment and it is observed that the algorithm, in addition to satisfying thecore, generates good social welfare on average.

### A Dataset on Malicious Paper Bidding in Peer Review

- Computer ScienceArXiv
- 2022

A descriptive analysis of the bidding behavior, including the categorization of different strategies employed by participants, and the performance of some simple algorithms meant to detect malicious bidding are evaluated.

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

- Computer ScienceAAMAS
- 2022

It is proved that when the set of papers requiring additional review is unknown, a simplified variant of this problem is NP-hard, and it is empirically shown that across several datasets pertaining to real conference data, dividing reviewers between phases/conditions uniformly at random allows an assignment that is nearly as good as the oracle optimal assignment.

### An automated conflict of interest based greedy approach for conference paper assignment system

- Computer ScienceJ. Informetrics
- 2020

### No Agreement Without Loss: Learning and Social Choice in Peer Review

- EconomicsArXiv
- 2022

In peer review systems, reviewers are often asked to evaluate various features of submissions, such as technical quality or novelty. A score is given to each of the predefined features and based on…

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