An Imperfect Verifier is Good Enough: Learning with Noisy Rewards.

arXiv:2604.07666v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is widely used for post-training Large Language Models, but practical verifiers can make errors. We study how the rate and structure of reward noise