KAIST's On-Policy Reverse Distillation Elicits Weak-to-Strong Generalization
kaist-ai · hf · 2026-09-09
KAIST AI proposed On-Policy Reverse Distillation, a weak-to-strong generalization method.
Core mechanism:
- Enables stronger models to exceed weak supervisors
- Amplifies verifier-supported policy gradients along the teacher's shift direction
- Accelerates optimization without imposing capacity limits
Offers a new training technique for the superalignment direction.
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