MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning
arXiv:2609.31644v1 Announce Type: new Abstract: Reinforcement learning (RL) is widely used in language-model post-training to maximize rewards assigned to individual model outputs, such as scores from binary verifiers or reward models trained on human feedback. However, applications such as synthet…
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- 2026-09-30 04:00 · arXiv cs.LG
MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning