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arXiv AI By Bolin Shen, Yushun Dong

ARIA: Runtime Inspection and Amendment for Multi-Agent Systems

Read the original on arXiv AI →

ARIA is a framework that learns to repair ongoing multi‑agent system executions by turning verified repairs into training data. It builds a large dataset of 3,953 repair pairs from over 24,000 trajectories across multiple frameworks and benchmarks, then trains a compact model to detect when and how to intervene during runtime. The resulting model shows strong repair performance, generalizing to unseen frameworks and host models.

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