3 papers
cs.DL2025
Detecting LLM-Generated Peer Reviews
Vishisht Rao, Aounon Kumar, Himabindu Lakkaraju +1
The integrity of peer review is fundamental to scientific progress, but the rise of large language models (LLMs) has introduced concerns that some reviewers may rely on these tools…
cs.LG2024
Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions
Jhih-Yi Hsieh, Aditi Raghunathan, Nihar B. Shah
In the peer review process of top-tier machine learning (ML) and artificial intelligence (AI) conferences, reviewers are assigned to papers through automated methods. These assignm…
astro-ph.IM2024
Enhancing Peer Review in Astronomy: A Machine Learning and Optimization Approach to Reviewer Assignments for ALMA
John M. Carpenter, Andrea Corvillón, Nihar B. Shah
The increasing volume of papers and proposals that undergo peer review emphasizes the pressing need for greater automation to effectively manage the growing scale. In this study, w…