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#reinforcement learning Preprint Sep 2026

Test-Time Weak-to-Strong Alignment: Transferring Implicit Rewards from Weak to Strong Flow Models

The method, AlignGraft, aligns a larger, frozen, never-tuned model by adding the pair's velocity difference during sampling by adding the pair's velocity difference during sampling, and preserves the large model's fidelity at a small constant sampling overhead.

Xin Xie, Fan Zhang, Dong Gong · 0 citations

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