LogTokU splits token uncertainty into aleatoric and epistemic components from the top-K logits, enabling single-pass hallucination detection and uncertainty-guided decoding.
Accuracy, consistency, and hallucination of large language models when analyzing unstructured clinical notes in electronic medical records,
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Estimating LLM Uncertainty with Evidence
LogTokU splits token uncertainty into aleatoric and epistemic components from the top-K logits, enabling single-pass hallucination detection and uncertainty-guided decoding.