Vai al contenuto principale
Torna al leaderboard

llm

Weak-to-Strong Generalization via Direct On-Policy Distillation

📄 Paper Trending (115⬆️): 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-training itself becomes a bottleneck....

Fonte: HuggingFace_Papers

Cosa fa

📄 Paper Trending (115⬆️): 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-training itself becomes a bottleneck....

Per chi è

Non disponibile

Prezzo

Non disponibile

Punti di forza

  • Non disponibile

Limiti

  • Non disponibile

Vuoi integrarlo nel tuo business? Prenota una call gratuita

Prenota ora
Weak-to-Strong Generalization via Direct On-Policy Distillation | ToolAI - StudioCentOS