cs.AI2026
Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks
Bart Custers, Koorosh Aslansefat
The paper presents a framework for monitoring runtime uncertainty in large‑language‑model based multi‑agent systems by converting token‑level log‑probabilities into calibrated conf…
#large language models#multi-agent systems#uncertainty quantification#bayesian networks