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Baptiste Bonin

Maîtrise recherche - Université Laval
Superviseur⋅e principal⋅e
Audrey Durand
Sujets de recherche
Apprentissage par renforcement
GFlowNets
Systèmes de recommandation

Publications

LLM-as-a-Judge: Toward World Models for Slate Recommendation Systems
Baptiste Bonin
Maxime Heuillet
Audrey Durand
Modeling user preferences across domains remains a key challenge in slate recommendation (i.e. recommending an ordered sequence of items) re… (voir plus)search. We investigate how Large Language Models (LLM) can effectively act as world models of user preferences through pairwise reasoning over slates. We conduct an empirical study involving several LLMs on three tasks spanning different datasets. Our results reveal relationships between task performance and properties of the preference function captured by LLMs, hinting towards areas for improvement and highlighting the potential of LLMs as world models in recommender systems.
2025-10-31
arXiv (publié)
doi.org
arxiv.org