MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published Jun 29 • 25
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training Paper • 2607.05804 • Published Jul 7 • 21
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published Jul 16 • 108
ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation Paper • 2607.13124 • Published Jul 14 • 20
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search Paper • 2607.24280 • Published Jul 27 • 85
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Paper • 2608.05987 • Published Aug 6 • 102
Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory Paper • 2608.07169 • Published Aug 7 • 50
SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation Paper • 2608.04419 • Published Aug 5 • 29
SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning Paper • 2608.14277 • Published Aug 14 • 35
D^3-MOPD: Adaptive Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation Paper • 2608.24987 • Published 21 days ago • 28
Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement Paper • 2608.31046 • Published 15 days ago • 154
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Paper • 2609.02749 • Published 13 days ago • 546
Rethinking On-Policy Distillation of Large Language Models II: One Training Example Paper • 2609.04172 • Published 12 days ago • 95
Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation Paper • 2609.02998 • Published 13 days ago • 20
Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation Paper • 2609.08798 • Published 7 days ago • 93