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Shanghao Li

2 papers indexed

arxivcs.LG2026-07-09

BlockServe: Block-Grained Continuous Batching for High-Throughput Diffusion LLM Serving

Yuanjie Zhu, Liangwei Yang, Ke Xu, Weizhi Zhang, Shanghao Li, Zihe Song, et al.

Efficient serving of diffusion large language models (dLLMs) is hindered by convergence heterogeneity: when batching multiple requests, different sequences converge at different rates, causing faster requests to stall behind slower stragglers and introducing compute bubbles and t…

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arxivcs.AI2026-07-05

HAS-Bench: Evaluating LLM-Based Human-Agent Systems under Configurable Human Participation

Yaozu Wu, Wei-Chieh Huang, Jizhou Guo, Dongyuan Li, Renhe Jiang, Henry Peng Zou, et al.

Large language models increasingly operate in settings where humans are active collaborators rather than passive task providers. We introduce HAS-Framework, a graph-based framework that represents humans and LLM-powered agents as first-class participants with explicit roles, perm…

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