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

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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Bibliographic Details
Main Authors: Rong Hu, Sen Liu, Panpan Qi, Jingyi Liu, Fengyuan Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Customs declaration assistance
dynamic regulation adaptation
intelligent question-answering system
large language model (LLM)
multimodal document parsing
retrieval-augmented generation (RAG)
Online Access:https://ieeexplore.ieee.org/document/10897992/
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https://ieeexplore.ieee.org/document/10897992/

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