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cs.LG2026
Smooth Partial Lotteries for Stable Randomized Selection
Alexander Goldberg, Giulia Fanti, Nihar B. Shah
Competitive selection processes, from scientific funding to admissions and hiring, use evaluations to score candidates, and eventually choose a subset of them based on those scores…
cs.LG2026
Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences
Madeline Celi Kitch, Nihar B. Shah
In many applications, human and LLM evaluators use assessments of relevant criteria to create an overall evaluation for an item or individual. For example, in admissions, committee…
cs.LG2025
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…