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Preprint Oct 2026

Intent-Preserving Adversarial User Simulation for Multi-Turn Agent Evaluation

Multi-turn agents are commonly evaluated with LLM-based simulated users, which can be overly cooperative and can therefore overestimate an agent's performance. We here introduce StressSim, an intent-preserving adversarial user simulator framework for stress-testing agents with challenging yet valid user interactions. S...

A. Sharma, Brian Formento, A. Lomuscio · 0 citations

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