Tag: on-policy distillation

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TCOD: Improving Multi-Turn Agent Training with Temporal Curriculum

Discover how TCOD enhances on-policy distillation for multi-turn autonomous agents, reducing KL instability and boosting performance by 18 points.

Token Importance in On-Policy Distillation Explained

Discover how token importance boosts on-policy distillation efficiency by focusing on student entropy and teacher-student divergence signals.

On-Policy Distillation of Large Language Models: Insights & Tips

Explore key mechanisms and strategies for effective on-policy distillation of large language models to boost training success and model performance.

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