Zhiyuan He

From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company

Zhengxu Yu, Yu Fu, Zhiyuan He, et al.

InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking

Ka Yiu Lee, Yuxuan Huang, Zhiyuan He, et al.

Act While Thinking: Accelerating LLM Agents via Pattern-Aware Speculative Tool Execution

Yifan Sui, Han Zhao, Rui Ma, et al.

This paper addresses the slowness of AI agents (LLMs that use external tools) by proposing PASTE, a method that predicts and executes likely future tool calls before the LLM finishes thinking. By recognizing that agents tend to follow recurring patterns of tool usage, PASTE can execute tools speculatively while the LLM is still processing, hiding wait times and achieving 48.5% faster task completion.