Article

Context-Grounded Factuality Enhancement in LLM Responses via Multi-Stage Critique and Refinement

2025-08-12

Abstract excerpt

Large Language Models (LLMs) often suffer from factual hallucinations and contextual detachment, significantly limiting their reliability in critical applications. To address these issues, we propose an innovative automated framework, "Context-Grounded Factuality Enhancement in LLM Responses via Multi-Stage Critique and Refinement." Our method leverages the inherent reasoning capabilities of pre-trained LLMs thems...

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Literature Corpus work: 69568991-85a8-552e-b34f-9523a88c003c
DOI: 10.20944/preprints202508.0700.v1

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