Article

Dynamic Multi-Hop Retrieval-Augmented Generation Framework for Professional Domain Question Answering

2026-03-31

Abstract excerpt

Multi-hop question answering in high-stakes professional domains presents significant challenges, as Large Language Models (LLMs) often suffer from hallucinations and lack specific domain knowledge. Existing Retrieval-Augmented Generation (RAG) frameworks, while grounding LLM responses, often struggle with multi-hop reasoning due to static retrieval, inadequate contextual fusion, and lack of self-correction. To ad...

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Literature Corpus work: 62ffbe46-0685-5f50-8983-a3c4984f0c87
DOI: 10.22541/au.177499050.00368942/v1

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