ICCA-RAG: Intelligent Customs Clearance Assistant Using Retrieval-Augmented Generation (RAG)

Document processing and query generation tasks in customs declaration scenarios face key challenges such as the complexity of multimodal data, adaptability to dynamic regulations, and ambiguity in query semantics. This study proposes a Retrieval-Augmented Generation system (ICCA-RAG) that addresses...

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Bibliografiske detaljer

Principais autores:	Rong Hu, Sen Liu, Panpan Qi, Jingyi Liu, Fengyuan Li
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Customs declaration assistance dynamic regulation adaptation intelligent question-answering system large language model (LLM) multimodal document parsing retrieval-augmented generation (RAG)
Online adgang:	https://ieeexplore.ieee.org/document/10897992/
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