Campus question-answering system based on intent recognition and retrieval-augmented generation

To address the issues of poor information integration and generalization in traditional campus question-answering systems, a campus question-answering system based on a large language model was designed. The fine-tuned model identified user intents and provided targeted solutions for various types o...

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Bibliografski detalji

Glavni autori:	TANG Bowen, MA Mingxuan, ZHANG Yining, LI Hourun, WEN Feifan, WANG Dabin, YANG Jia, MA Hao
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Department of Journal on Communications 2024-11-01
Serija:	Tongxin xuebao
Teme:	LLM RAG supervised fine-tuning intent recognition
Online pristup:	http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024245/
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