A Dynamic Retrieval-Augmented Generation Framework for Border Inspection Legal Question Answering
Author:
Affiliation:
1. Inner Mongolia University of Technology,College of Data Science and Application
2. Hohhot Entry-Exit Frontier Inspection Station of National Immigration Administration,Hohhot,China
Funder
Natural Science Foundation of Inner Mongolia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10660661/10660673/10661194.pdf?arnumber=10661194
Reference15 articles.
1. Lexical-Morphological Modeling for Legal Text Analysis
2. JEC-QA: A Legal-Domain Question Answering Dataset
3. CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension
4. Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
5. Disc-lawllm: Fine-tuning large language models for intelligent legal services;Yue,2023
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