MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
Paper • 2606.30406 • Published • 16
Distillation
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TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training
Paper • 2607.05804 • Published • 19 -
Trust Region Policy Distillation
Paper • 2607.04751 • Published • 34 -
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning
Paper • 2607.14777 • Published • 103 -
ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation
Paper • 2607.13124 • Published • 19 -
Visual Contrastive Self-Distillation
Paper • 2607.21556 • Published • 48 -
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
Paper • 2607.24280 • Published • 74