Author

Audrey Durand

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#artificial intelligence Preprint Nov 2025

Offline A/B Testing of Slate Recommendation Systems with LLMs: Reducing the Dependency on Pre-Collected User Interaction Data

A validation protocol is introduced measuring the alignment of synthetic preferences with classical RecSys metrics and their compliance with preference axioms, and used to characterise how LLM pre-training and configuration affect slate preference articulation.

Baptiste Bonin, M. Heuillet, Audrey Durand · 0 citations

#artificial intelligence Preprint Sep 2026

On Preference Coverage Collapse from Hindsight Relabeling in Multi-Objective Reinforcement Learning

A natural extension to preference-conditioned multi-objective RL (MORL) relabels transitions with the preference direction the agent achieved rather than the one asked for, and a single-parameter convex combination pulling the achieved direction back towards the requested preference is introduced.

Baptiste Bonin, Caro Strickland, Audrey Durand · 0 citations