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Learning User Representations to Improve Simulation Fidelity

arXiv:2610.22518v1 Announce Type: new Abstract: User simulators enable interactive training and evaluation of AI assistants at scale. Yet current simulators struggle to reproduce the diverse behaviors of real users, leading to assistants that generalize poorly to underrepresented users. We identify…

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  1. 2026-10-19 04:00 · arXiv cs.CL
    Learning User Representations to Improve Simulation Fidelity

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