Learning user representations to improve simulation fidelity
Read the original at arxiv.org→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,...
Original headline: "Learning User Representations to Improve Simulation Fidelity"
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- Oct 19, 04:00 UTC arXiv cs.CL lead source Learning User Representations to Improve Simulation Fidelity