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News/From Base Rollouts to RL Reasoning: A Budgeted Search Perspective
arxiv
PublishedSeptember 2, 2026 at 4:00 AM

From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

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arXiv:2609.01274v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves language-model reasoning, but how these gains relate to inference-time decoding and search remains unclear. Does RL create reasoning the base model lacks, or shift the rollout distribution

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