arXiv cs.CL
· Papers
Weak-to-Strong Generalization via Direct On-Policy Distillation
arXiv:2607.05394v2 Announce Type: replace-cross Abstract: Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, but it is expensive to repeat on every new strong model because the target model must generate many rollouts during training. As models scale, post