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A Three-Tier Persona Vector for Controllable User Simulation in Agentic Evaluation

arXiv · AI, language, vision and robotics · article · Sep 8, 2026 · UTC

Evaluating tool-augmented LLM agents requires diverse, realistic user inputs yet most evaluation frameworks use flat role descriptions ("you are an angry customer") that produce near-identical conversations regardless of the underlying scenario. In this paper, we propose a three-tier persona vector with 23 operationalized dimensions: 6 categorical demographics (jurisdiction, age, channel, device, language proficiency, time availability), 12 continuous behavioral traits (patience, assertiveness, digital literacy, etc.) sampled with Gaussian noise around curated profile base vectors, and 5 conti

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Evidence & attribution

First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.