Paper claims RL for reasoning only changes 1-3% of tokens, and they replicate the gains without RL at ~1000x less compute

提出一种无需强化学习即可实现推理能力提升的新方法，仅需极低计算成本即可达到类似效果，挑战了当前RL用于推理优化的主流范式。

以1000倍更低的计算成本实现与强化学习相当的推理性能，颠覆了对RL在推理优化中必要性的认知。

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