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cs.LG2026
Binary Rewards and Reinforcement Learning: Fundamental Challenges
Marc Dymetman
Reinforcement learning with verifiable rewards (RLVR) has become a standard approach for improving reasoning in language models, yet models trained with RLVR often suffer from dive…
cs.LG2026
Exponential families from a single KL identity
Marc Dymetman
Exponential families encompass the distributions central to modern machine learning -- softmax, Gaussians, and Boltzmann distributions -- and underlie the theory of variational inf…
cs.LG2025
Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity
Germán Kruszewski, Pierre Erbacher, Jos Rozen +1
Reinforcement Learning (RL) has become the de facto standard for tuning LLMs to solve tasks involving reasoning. However, growing evidence shows that models trained in such way oft…