2026
Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs
AAAI 2026technical
Large language models (LLMs) have demonstrated remarkable performance across diverse tasks by encoding vast amounts of factual knowledge. However, they are still prone to hallucinations, generating incorrect or misleading information, often accompanied by high uncertainty. Existing methods for hallu