Article

Human–Agent Joint Diagnosis with ValidLLP4LLM: A Labeled Logic Framework for Validating LLM Reasoning

2026-06-30

Abstract excerpt

Large language models (LLMs) can generate fluent diagnostic explanations that appear coherent while containing unsupported claims, omitted premises, or logically invalid inferences. Such hallucinations are especially dangerous in human–machine collaborative environments, where LLM outputs may influence clinical judgment, escalation decisions, and trust calibration. This paper introduces ValidLLP4LLM, a hallucinati...

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Literature Corpus work: c9002779-1a63-58d0-a753-e879fea3ef65
DOI: 10.20944/preprints202606.2230.v1

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