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Enhancing Reliability in Large Language Models: Self-Detection of Hallucinations With Spontaneous Self-Checks

2024-09-09

Abstract excerpt

Modern automated text generation systems frequently produce outputs that contain factual inaccuracies, inconsistencies, and logical errors, which compromise the reliability of the generated content. A novel framework was proposed to enable autonomous detection and correction of such errors, achieving significant improvements in real-time hallucination mitigation without human intervention. The methodology introduc...

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Literature Corpus work
59e747f1-2412-5c83-8843-7c2e4377cf1a
DOI
10.22541/au.172591474.45065639/v1
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Enhancing Reliability in Large Language Models: Self-Detection of Hallucinations With Spontaneous Self-ChecksDOI 10.22541/au.172591474.45065639/v1
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