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

arXiv:2610.33013v1 Announce Type: cross Abstract: 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 (U