Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

What changed

Groups sampled answers by context-dependent mutual entailment and estimates uncertainty over meanings; the later journal treatment includes discrete frequency and normalized cluster-probability estimators.

Scientific scope

Groups sampled answers by context-dependent mutual entailment and estimates uncertainty over meanings; the later journal treatment includes discrete frequency and normalized cluster-probability estimators. One contribution family, not two inventions. Detects variable confabulations, not systematic falsehoods, lies or all reasoning errors. Finite samples, approximate entailment/greedy clustering and length-normalization choices matter; no certified factuality or independently checked convergence theorem. No biological application contribution claimed.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. One contribution family, not two inventions. Detects variable confabulations, not systematic falsehoods, lies or all reasoning errors. Finite samples, approximate entailment/greedy clustering and length-normalization choices matter; no certified factuality or independently checked convergence theorem. No biological application contribution claimed.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
• Detecting hallucinations in large language models using semantic entropy

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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