Author

Bo Dai

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#artificial intelligence Preprint Oct 2026

Does On-Policy Distillation Need to Complete Every Rollout?

On-policy distillation (OPD) transfers teacher knowledge to a student through feedback on student-generated rollouts, but generating complete rollouts and computing per-token teacher feedback are computationally expensive. Existing truncation methods save computation by stopping rollouts early. However, they do not com...

Zheng-Xin Zhang, Mao-Sen Tang, Ning Wang et al. · 0 citations

Jul 2026

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering

Experimental results on a broad range of MLE tasks with diverse model types and scales demonstrate that Matryoshka Agent is an effective and scalable paradigm for long-horizon MLE tasks and complex agentic problem solving.

Rushi Qiang, Changhao Li, Haotian Sun et al. · arXiv.org · 0 citations