arxiv
PublishedSeptember 1, 2026 at 4:00 AM
Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information
Publisher summary· verbatim
arXiv:2607.19313v2 Announce Type: replace-cross Abstract: 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
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Originally published on arxiv ↗