AI RESEARCH
Goal Alignment in LLM-Based User Simulators for Conversational AI
arXiv CS.CL
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ArXi:2507.20152v2 Announce Type: replace User simulators are essential to conversational AI, enabling scalable agent development and evaluation through simulated interactions. While current Large Language Models (LLMs) have advanced user simulation capabilities, we reveal that they struggle to consistently nstrate goal-oriented behavior across multi-turn conversations--a critical limitation that compromises their reliability in downstream applications. We