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ChainTrust-LLM: Secure and Auditable Hallucination Mitigation in Medical LLMs Using Blockchain and Expert Feedback

2026-07-29

Abstract excerpt

<title>Abstract</title> <p>Large Language Models have shown remarkable promise in clinical text generation but continue to suffer from hallucination, factually incorrect or misleading outputs posing serious risks in medical decision-making. This paper introduces ChainTrust-LLM, a novel framework that integrates human-in-the-loop trust calibration and blockchain-based auditability to detect and mitigate hallucinat...

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Literature Corpus work
3b798032-ebf8-5161-9344-076eb0739760
DOI
10.21203/rs.3.rs-10507225/v1
Open publication

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ChainTrust-LLM: Secure and Auditable Hallucination Mitigation in Medical LLMs Using Blockchain and Expert FeedbackDOI 10.21203/rs.3.rs-10507225/v1
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