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A Hybrid Retrieval-Augmented Generation and Language Model Framework for Evidence-Grounded Review Systems

2025-09-26

Abstract excerpt

<title>Abstract</title> <p>Evidence-grounded review systems require balancing comprehensive knowledge retrieval with accurate and reliable generation. Traditional approaches often struggle with maintaining factual consistency, providing proper attribution, and combining complex multi-source evidence. In this study we propose a reliable hybrid framework that integrates retrieval-augmented generation with large lan...

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Literature Corpus work
5e2d5c5a-3c18-5502-9e62-1ba98a449974
DOI
10.21203/rs.3.rs-7706204/v1
Open publication

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A Hybrid Retrieval-Augmented Generation and Language Model Framework for Evidence-Grounded Review SystemsDOI 10.21203/rs.3.rs-7706204/v1
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