Data-Driven Persona-Conditioned Agents for A/B Test Simulation
A simulation framework that predicts A/B test outcomes using LLM-powered agents conditioned on data-driven personas grounded in real user behavioral signals is proposed, demonstrating that data-driven personas are a viable path toward fast, low-cost experiment pre-screening.
Ziyad Benomar, Weronika Lajewska, Leonardo Perelli et al.
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