A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice — mentioned by esafak

Fri, 05 Dec 2025 21:52:17 GMT

In that case I would start by studying the literature. The first two uncertainty estimation & out-of-distribution (OOD) detection approaches you mention, "Embedding Distance" and "Self-Interrogation", are sometimes called feature-space density estimation and consistency-based uncertainty quantification. Practical algorithms include Semantic Entropy, Self-Consistency / Verbalized Confidence, and Embedding-based Density (Mahalanobis Distance). References: A Survey of Uncertainty Estimation Methods on Large Language Models (https://aclanthology.org/2025.findings-acl.1101/) A Survey of…

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A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice — mentioned by esafak