Challenges, experiments, and computational solutions in peer review

NB Shah - Communications of the ACM, 2022 - dl.acm.org
Challenges, experiments, and computational solutions in peer review Page 1 76
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …

[HTML][HTML] Manipulation and peer mechanisms: A survey

M Olckers, T Walsh - Artificial Intelligence, 2024 - Elsevier
In peer mechanisms, the competitors for a prize also determine who wins. Each competitor
may be asked to rank, grade, or nominate peers for the prize. Since the prize can be …

[PDF][PDF] We need fairness and explainability in algorithmic hiring

C Schumann, J Foster, N Mattei… - International conference on …, 2020 - par.nsf.gov
Algorithms and machine learning models, including the decisions made by these models,
are becoming ubiquitous in our daily life, including hiring. We make no value judgment …

Mitigating manipulation in peer review via randomized reviewer assignments

S Jecmen, H Zhang, R Liu, N Shah… - Advances in …, 2020 - proceedings.neurips.cc
We consider three important challenges in conference peer review:(i) reviewers maliciously
attempting to get assigned to certain papers to provide positive reviews, possibly as part of …

What Can Natural Language Processing Do for Peer Review?

I Kuznetsov, OM Afzal, K Dercksen, N Dycke… - arxiv preprint arxiv …, 2024 - arxiv.org
The number of scientific articles produced every year is growing rapidly. Providing quality
control over them is crucial for scientists and, ultimately, for the public good. In modern …

Peer reviews of peer reviews: A randomized controlled trial and other experiments

A Goldberg, I Stelmakh, K Cho, A Oh, A Agarwal… - arxiv preprint arxiv …, 2023 - arxiv.org
Is it possible to reliably evaluate the quality of peer reviews? We study this question driven
by two primary motivations--incentivizing high-quality reviewing using assessed quality of …

Uncovering latent biases in text: Method and application to peer review

E Manzoor, NB Shah - Proceedings of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
Quantifying systematic disparities in numerical quantities such as employment rates and
wages between population subgroups provides compelling evidence for the existence of …

Direct judgement preference optimization

P Wang, A Xu, Y Zhou, C **ong, S Joty - 2024 - openreview.net
Auto-evaluation is crucial for assessing response quality and offering feedback for model
development. Recent studies have explored training large language models (LLMs) as …

On testing for biases in peer review

I Stelmakh, N Shah, A Singh - Advances in Neural …, 2019 - proceedings.neurips.cc
We consider the issue of biases in scholarly research, specifically, in peer review. There is a
long standing debate on whether exposing author identities to reviewers induces biases …

Strategyproofing peer assessment via partitioning: The price in terms of evaluators' expertise

K Dhull, S Jecmen, P Kothari, NB Shah - Proceedings of the AAAI …, 2022 - ojs.aaai.org
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 homeworks, grant proposal …