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A Behavioral Trait Leaks into Preferences: Diagnosing Trait Interference in LLM User Simulators
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 user engages with and a behavioral activity trait governs how long they browse. However, we show this intended trait indep
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