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Zelei Shao

2 accepted papers

2026

When RL Meets Adaptive Speculative Training: A Unified Training-Serving System

ICML 2026poster

Speculative decoding can significantly accelerate LLM serving, but its real-world benefits often erode due to training–serving mismatch and non-stationary traffic. Unlike previous systems that decouple speculator training from inference, we present a unified training–serving system, Aurora, that clo…

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