Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information
By Priyank Agrawal · Paper · cs.LG
Reinforcement learning with verifiable rewards (RLVR) improves reasoning in large language models. Yet, typical RLVR approaches fail on difficult problems: when a model cannot generate any correct solutions, it receives \textit{zero} learning signal. Providing privileged guidance