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Baptiste Bonin

Master's Research - Université Laval
Supervisor
Research Topics
GFlowNets
Recommender Systems
Reinforcement Learning

Publications

LLM-as-a-Judge: Toward World Models for Slate Recommendation Systems
Modeling user preferences across domains remains a key challenge in slate recommendation (i.e. recommending an ordered sequence of items) re… (see more)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.