MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning

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.