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Chae-Ryung Kim

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#artificial intelligence Preprint Sep 2026

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

PQA, a page-level quality anchoring method that guides simulators using a personalized anchor reflecting each user's intrinsic preference standard, is proposed, and experiments show PQA mitigates trait interference and improves the reliability of LLM-based simulator evaluation under activity shifts.

Chae-Ryung Kim, Sein Kim, Hongseok Kang et al. · 0 citations

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