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Yi-Ze Chen

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#machine learning Preprint Sep 2026

Measured Joules, Learned Routes: Learning to Route for Energy-Efficient LLM Serving

Large language models (LLMs) and agentic AI systems are creating rapidly growing inference energy demands as model sizes grow and reasoning trajectories extend. While in practice, many queries do not require the capabilities of the largest available model, and routinely directing such queries to a high-capability model...

Muhammad Abdur Rab Siddiqui, Daniel Rojas, Chen Yang et al. · 0 citations
Preprint Aug 2026

Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress

This work proposes Reasoning-Progress-Aware Reward Filtering for On-Policy Distillation (R2-OPD), which constructs two within-trajectory rankings of reasoning spans, one from teacher-derived rewards and the other from independently estimated progress reward.

Chen Yang, Hai-Yuan Wan, Rengrong Xiong et al. · 1 citation

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