2026
LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy
IJCAI 2026
LLMs' overconfidence, particularly when hallucinating, poses a significant challenge for the deployment of the models in safety-critical settings and makes a reliable estimation of uncertainty necessary. Existing approaches for uncertainty quantification typically prioritize lexical or probabilistic