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📄 ResearchJuly 21, 2026

H$^2$SD: Hybrid Hindsight Self-Distillation

Reinforcement learning with verifiable rewards (RLVR) has substantially improved the reasoning capabilities of large language models on tasks such as mathematical reasoning and code generation. However, most RLVR methods assign a scalar outcome reward to an entire trajectory, resulting in sparse sup...

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Source

http://arxiv.org/abs/2607.18955v1