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From Argumentation to Labeled Logic Program for LLM Verification

2026-01-21

Abstract excerpt

Large language models (LLMs) often generate fluent but incorrect or unsupported statements, commonly referred to as hallucinations. We propose a hallucination detection framework based on a Labeled Logic Program (LLP) architecture that integrates multiple reasoning paradigms, including logic programming, argumentation, probabilistic inference, and abductive explanation. By enriching symbolic rules with semantic, e...

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Literature Corpus work
dcfb6caf-6c2a-5c94-a234-16f6b6e8c40d
DOI
10.20944/preprints202601.1549.v1
Open publication

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From Argumentation to Labeled Logic Program for LLM VerificationDOI 10.20944/preprints202601.1549.v1
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