Author

Ziyad Benomar

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#artificial intelligence Preprint Sep 2026

Augmented Hypothesis Testing with Persona-Based LLM Simulations

A principled framework for learning-augmented hypothesis testing that leverages predictions of unknown quality to reduce sample sizes while maintaining statistical validity, and extends Prediction-Powered Inference to handle nonlinear prediction errors through higher-dimensional transformations.

Ziyad Benomar, Aymen Al Marjani, Paul Missault et al. · 0 citations

#artificial intelligence Preprint Sep 2026

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. · 1 citation