3 papers
cs.AI2026
Cross-Entropy Games and Frost Training
Arthur Renard, Franck Gabriel, Valentin Hartmann +1
We present Frost Training, a method for improving Monte Carlo-based policy optimization for a large family of LLM-as-a-judge tasks called Cross-Entropy Games. The key idea is to ex…
math.OC2026
Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games
Clément Hongler, Franck Gabriel, Valentin Hartmann +2
Defining a constructive process to build general capabilities for language models in an automatic manner is considered an open problem in artificial intelligence. Towards this, we…
cs.LG2025
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study
Franck Gabriel, François Ged, Maria Han Veiga +1
Diffusion models now set the benchmark in high-fidelity generative sampling, yet they can, in principle, be prone to memorization. In this case, their learned score overfits the fi…