3 papers
cs.LG2026
Learning POMDP World Models from Observations with Language-Model Priors
Valentin Six, Frederik Panse, Mathis Fajeau +7
Whether navigating a building, operating a robot, or playing a game, an agent that acts effectively in an environment must first learn an internal model of how that environment wor…
cs.CL2025
The Structure-Content Trade-off in Knowledge Graph Retrieval
Valentin Six, Evan Dufraisse, Gaël de Chalendar
Large Language Models (LLMs) increasingly rely on knowledge graphs for factual reasoning, yet how retrieval design shapes their performance remains unclear. We examine how question…
cs.LG2025
Evaluating Rank-N-Contrast: Continuous and Robust Representations for Regression
Valentin Six, Alexandre Chidiac, Arkin Worlikar
This document is an evaluation of the original "Rank-N-Contrast" (arXiv:2210.01189v2) paper published in 2023. This evaluation is done for academic purposes. Deep regression models…