PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems
arXiv:2610.13989v1 Announce Type: new Abstract: Evaluating recommender systems before deployment requires simulators that remain realistic over long, closed-loop interaction cycles. Current LLM-based agents generally function as surface imitators that generate realistic short-term responses but fail
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen