2 papers
cs.AI2026
OrchBench: Evaluating Multi-Agent Orchestration Plans in Isolation via Deterministic Simulation
Zhenzhen Ren, Jiyan He, Xinpeng Zhang +5
The paper introduces OrchBench, a deterministic simulation benchmark that evaluates multi‑agent orchestration plans on DAG‑structured tasks in isolation, providing fast, token‑effi…
cs.HC2026
SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation
Yanjia Li, Kelcy Kexin Han, Tianrui Hu +3
Simulation has long supported supply chain management instruction by letting learners observe network behavior and test decision strategies. Recent progress in LLM-driven agents op…