English(EN) Unlearnable, or Unmeasured? On the Reliability of Difficulty Labels in RLVR

研究质疑RLVR中难度标签的可靠性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

一篇新的研究论文质疑了在具有可验证奖励的强化学习（RLVR）中使用的难度标签的可靠性。研究表明，先前被认为不可学的提示实际上可能会得到改进，尽管速度较慢，并且难度标签本身的重现性不如预期。研究人员提出了一个框架来量化这种不稳定性，并确定可靠难度分配所需的评估深度，同时重新审视了用于解释慢学习现象的梯度相似性证据。 AI

影响挑战了关于模型学习能力及其测量方法的现有假设。

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arXiv cs.AI TIER_1 English(EN) · Chandak Chakma, Syed Nazmus Sakib, Nafiul Haque, Shifat E. Arman · 2026-10-01 04:00

不可学，还是未测量？关于RLVR中难度标签的可靠性

arXiv:2609.40115v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become an important approach for improving reasoning during post-training. Recent work suggests that some difficult prompts remain resistant to learning even when they occasi…

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不可学，还是未测量？关于RLVR中难度标签的可靠性

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