Bruno Arcanjo

Agentic-Priors: Using Large Language Models to Address the Cold Start Problem in Preference Elicitation

Agentic-Priors is presented, which lets agentic systems use the implicit knowledge of large language models (LLMs) instead of Informative priors, which states a new user's trade-offs in interpretable terms, which is then refined by a Bayesian learner as choices are observed.