基于大语言模型的教育问答系统研究  

Educational Question-Answering Systems Based on Large Language Model

作　　者：张春红[1] 杜龙飞 朱新宁[1] 赵慧[1] ZHANG Chunhong;DU Longfei;ZHU Xinning;ZHAO Hui(School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《北京邮电大学学报（社会科学版）》2023年第6期79-88,共10页Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)

基　　金：北京邮电大学2022年教育教学改革项目立项资助(2022JXYJ-F01);2022北京市高等教育本科生教学改革与创新项目。

摘　　要：基于大语言模型在教育问答系统的应用,探讨其在教育领域的优化方案。近年来,基于预训练模型的方法在自然语言处理领域受到广泛关注。大语言模型作为一种预训练的语言生成模型,在降低教育问答系统开发成本、提高准确性方面具备潜力。从大语言模型在教育问答系统的实际应用、对教育领域的影响以及优化方案三个方面展开深入分析。在教育领域实际应用方面,考察多轮问答效果、无样本(少样本)学习以及多模态问题处理,并对其进行定量分析。同时,探讨基于硬提示的方案,旨在提升大语言模型在教育问答系统中的性能和应用范围。通过对其优势和问题的综合分析,为教育领域的智能化教学提供了实质性的参考和指导。This paper aims to investigate the application of the Large Language Model in educational question-answering systems,and explore its optimization strategies in the educational domain.In recent years,methods based on pre-trained models have garnered much attention in the field of natural language processing.Large Language Model,as a pre-trained language generation model,holds promising potential for reducing development costs and enhancing accuracy in educational question-answering systems.A comprehensive analysis is made from three key aspects:the practical application of Large Language Model in educational question-answering systems,its impact on the educational sector,and optimization approaches.Regarding the practical application in education,the effects of multi-turn question-answering,zero-shot(few-shot)learning,and multi-modal query handling are investigated,and a quantitative analysis is conducted.Additionally,a strategy based on Hard Prompts is explored,aiming at elevating the performance and applicability of Large Language Model in educational question-answering systems.Through a comprehensive evaluation of its strengths and limitations,reference and guidance are provided for intelligent tutoring within the realm of education.

关 键 词：大语言模型 教育问答系统 多轮问答 无样本学习 多模态 

分 类 号：G434[文化科学—教育学]