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News/Efficient Agent Evaluation via Diversity-Guided User Simulation
arxiv
PublishedApril 24, 2026 at 4:00 AM
—neutral

Efficient Agent Evaluation via Diversity-Guided User Simulation

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arXiv:2604.21480v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as customer-facing agents, yet evaluating their reliability remains challenging due to stochastic, multi-turn interactions. Current evaluation protocols rely on linear Monte Carlo rollouts of compl

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