Author

Ye-Cheng Wu

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#artificial intelligence Apr 2026

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

Lightning OPD is proposed, an offline on-policy distillation framework that enforces teacher consistency and eliminates the need for a live teacher server entirely and achieves comparable performance to standard OPD while delivering 4.0x higher training efficiency.

Ye-Cheng Wu, Song Han, H. Cai · arXiv.org · 30 citations · ⚡2

#artificial intelligence Preprint Sep 2026

Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability Composition

Lightning Weave is introduced, a post-training framework that extracts and composes independently learned capabilities in a single student through on-policy distillation and achieves a state-of-the-art accuracy-efficiency frontier.

Ye-Cheng Wu, Song Han, Han Cai · 0 citations