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Yan-Xin Zhang

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Preprint Oct 2026

Serving a Revisable World: Versioned Execution for Interruptible Agents

LLM agents revise running tasks when users change instructions, tools fail, or new information changes a plan. Today's servers express a revision as aborting old requests and submitting replacements. Yet the old execution's buffered output and outstanding work must stop affecting the application, while completed KV sta...

Yan-Xin Zhang, R. Sharma, Nitin Vegesna et al. · 0 citations
#machine learning Preprint Aug 2026

On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies

It is shown that high cycle or aggregate ranking accuracy can reflect mastery of easy, high-margin cases while missing the local reversals that carry the most architectural insight and for which cycle-level simulation remains indispensable.

Yan-Xin Zhang, Shayne Wadle, Yuxuan Xiong et al. · 0 citations

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