2 papers
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.GT2026
Can Users Fix Algorithms? A Game-Theoretic Analysis of Collective Content Amplification in Recommender Systems
Ekaterina Fedorova, Madeline Kitch, Chara Podimata
Users of social media platforms based on recommendation systems (e.g. TikTok, X, YouTube) strategically interact with platform content to influence future recommendations. On some…