Author

Wenze Lin

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#artificial intelligence Preprint Aug 2026

On-policy Distillation with Verifiable Reward

This work reformulates the implicit reward of sampled-token OPD based on trajectory correctness, then applies a ReLU gating mechanism to ensure that correct trajectories receive non-negative rewards and incorrect ones receive non-positive rewards, making it readily combinable with any policy gradient algorithm, such as GRPO.

Wenze Lin, Jiale Zhao, Xi-Tai Jiang et al. · 0 citations