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News/Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

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arXiv:2509.26226v3 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Reward (RLVR) effectively solves complex tasks but demands extremely long context lengths during training, leading to substantial computational costs. While multi-stage training can partially mitigate th

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