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20242026
most citedLarge Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System

3 citations · 3 across the 7 of their papers we have counts for

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cs.AI2026

A Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators

Chaehyun Kim, Sein Kim, Hongseok Kang +1

LLM-based user simulators aim to bridge the offline-online gap in recommender evaluation by emulating users through injected traits, where preference attributes determine what a us…