When All Rollouts Fail: Policy-Compatible Joint Decoding for Hard-Problem Reasoning.

arXiv:2610.36849v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) derives its learning signal from binary rewards via on-policy exploration and becomes a powerful paradigm for improving the reasoning of large language mode