most citedLLM-Driven Dual-Level Multi-Interest Modeling for Recommendation

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cs.MM2026

Through Their Eyes: Fixation-aligned Tuning for Personalized User Emulation

Lingfeng Huang, Huizhong Guo, Tianjun Wei +2

Large language model (LLM) agents are increasingly deployed as scalable user simulators for recommender system evaluation. Yet existing simulators perceive recommendations through…