Semantic Uncertainty Quantification Needs Factual Equivalence.

arXiv:2609.34967v1 Announce Type: cross Abstract: Semantic uncertainty quantification for large language models rests on a common template: sample several answers, measure how much they agree, and treat disagreement as uncertainty. We first formalize this temp