软件导刊2026，Vol.25Issue(4)：104-109,6.DOI:10.11907/rjdk.251489
大语言模型驱动的题库自动生成:面向PDF的跨模态解析与知识点对齐
Automated Question Bank Generation Driven by Large Language Models:Cross-Modal Parsing and Knowledge Point Alignment for PDF Documents
司彬1
作者信息
- 1. 萍乡市第二人民医院 信息科,江西 萍乡 337000
- 折叠
摘要
Abstract
With the rapid development of online education,the automatic generation of high-quality question banks is increasingly urgent.The existing methods for automatic generation of question bank can be divided into two categories:the method based on textbook content has insufficient accuracy,while the method based on PDF question bank analysis has poor universality due to the diversity of formats.Therefore,a question bank generation system combining knowledge map and hybrid embedding is proposed,which uses multimodal PDF parsing technolo-gy to process text,formula and other heterogeneous content;Construct a map of knowledge points to realize the semantic association of ques-tion answer knowledge points;A hybrid matching algorithm is designed to fuse structural features and semantic features for precise alignment.The experimental results show that the proposed system achieves an accuracy rate of 70.68%in the question answer analysis matching task and 82.95%in the question knowledge point alignment task.The system has good universality and can be quickly applied to professional fields such as CFA examination,physician qualification examination,etc.after being combined with the teacher review mechanism.关键词
题库自动生成/大语言模型/知识图谱/跨模态解析/语义匹配Key words
automated question generation/large language models/knowledge graph/cross-modal parsing/semantic matching分类
信息技术与安全科学引用本文复制引用
司彬..大语言模型驱动的题库自动生成:面向PDF的跨模态解析与知识点对齐[J].软件导刊,2026,25(4):104-109,6.
