When Messages Go Wrong: Understanding Communication Faults in LLM-Based Multi-Agent Systems
LLM-based multi-agent systems (LLM-MAS) use specialized agents that exchange messages to accomplish complex tasks. Their reliance on networked protocols, remote tools, and model endpoints exposes communication to message loss, delay, and context expiration. Because agents often exchange open-ended natural language, anomalies can alter task-relevant information while leaving messages processable, allowing semantic errors to propagate through subsequent interactions. Systematic studies of faults in inter-agent communication remain limited. This paper presents a large-scale empirical study of how communication faults manifest, propagate, and affect task outcomes in LLM-MAS. We construct a cr...
| Authors | Jinhao Zhou, Xiaoyu Zhang, Jiongchi Yu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 11 October 2026 |
| Last updated at source | 11 October 2026 |
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