Author

Zhao-Yang Xu

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#artificial intelligence Preprint Oct 2026

Stepped MoE: Segment-Level Routing with Configurable Inference Complexity

Training large language models (LLMs) is resource-intensive, and adapting them for diverse deployment scenarios with varying computational constraints remains challenging. While elastic architectures enable flexible model deployment and sparsely activated models allow input-adaptive computation, existing approaches tre...

Arnav Kundu, Zhao-Yang Xu, Bai-Ru Hou et al. · 0 citations

#machine learning Preprint Oct 2026

Flash-OPD: Fast On-Policy Distillation

On-policy distillation (OPD) provides dense teacher supervision on student-generated trajectories, but generating and evaluating long rollouts incurs substantial training cost. Existing acceleration methods reduce this cost through open-loop rollout schedules or closed-loop horizon adaptation. However, supervision comp...

Wei Chen, Junle Chen, Yi-Tong Yang et al. · 0 citations