Author

Tian-Long Chen

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#artificial intelligence Preprint Oct 2026

AgentOrch: How Close Can Global Orchestration Come to Step-by-Step Interaction?

AgentOrch is introduced, a benchmark that directly compares global orchestration with step-by-step interaction on 650 enterprise SOPs and 3,220 runtime variants under matched tools, environments, and evaluation, and offers a promising path toward enterprise agents that deliver higher accuracy with fewer LLM calls.

Zi-Jie Liu, Qi-Yang Huang, Jinhao Duan et al. · 0 citations

#artificial intelligence Preprint Oct 2026

UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems

Multi-Agent Systems (MAS) are a promising paradigm for improving the reasoning capabilities of large language models, yet they remain prone to hallucinations and erroneous outputs. Uncertainty Quantification (UQ) is crucial for assessing system reliability, but existing methods are largely designed for single-agent set...

Han Li, Jinhao Duan, Xiao-Shuang Shi et al. · 0 citations