【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。更多还原

【Abstract】 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.更多还原