Layered Query Retrieval: An Adaptive Framework for Retrieval-Augmented Generation in Complex Question Answering for Large Language Models

Layered Query Retrieval: An Adaptive Framework for Retrieval-Augmented Generation in Complex Question Answering for Large Language Models

Retrieval-augmented generation (RAG) addresses the problem of knowledge cutoff and overcomes the inherent limitations of pre-trained language models by retrieving relevant information in real time. However, challenges related to efficiency and accuracy persist in current RAG strategies. A key issue...

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Bibliographic Details
Main Authors: Jie Huang, Mo Wang, Yunpeng Cui, Juan Liu, Li Chen, Ting Wang, Huan Li, Jinming Wu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
retrieval-augmented generation
question answer
adaptive retrieval
complex classification
Online Access:https://www.mdpi.com/2076-3417/14/23/11014
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