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Yi-Hui Zhang

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Preprint Sep 2026

Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs

A prediction-guided runtime that uses workflow forecasts to construct and optimize a physical execution graph and reduces end-to-end makespan and overall p95 completion latency under burst arrivals by up to 36.8% and 25.8% over state-of-the-art workflow schedulers.

Jing-Hao Wang, Yi-Feng Zhang, Xiao Zhou et al. · 0 citations
Jul 2026

SpecBox: Speculative Sandbox Scheduling for Efficient LLM Agent Serving

This work presents SpecBox, a runtime built around speculative sandbox preallocation tailored for dynamic LLM agent execution pipelines, and implements keyword matching and streaming semantic embedding to enable intent-driven sandbox prewarming, which identifies pending tool execution demands mid-LLM token generation a...

Yi-Hui Zhang, Tian-Yu Wo, Jing-Hao Wang et al. · 1 citation

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