Article

Discourse Structure as an Interpretable Signal for Detecting Hallucinated Chain-of-Thought Reasoning in Large Language Models

2026-06-22

Abstract excerpt

Large language models (LLMs) frequently generate fluent chain-of-thought (CoT) reasoning that appears coherent while containing unsupported inferences, omitted alternatives, or logically invalid conclusions, creating significant challenges for trustworthy and explainable AI in high-stakes domains such as healthcare. While prior work has primarily focused on factual hallucinations, the structural characteristics of...

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Literature Corpus work: 3bb830b3-2f9a-53aa-a235-06fc27c1ed0d
DOI: 10.20944/preprints202606.1533.v1

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