用大模型打造助新生适应大学生活的聊天机器人
NOVI : Chatbot System for University Novice with BERT and LLMs
- 基于GPT-4o和韩大论坛数据构建聊天助手
- 多指标评估显示对话质量良好，适合新手求助
- 可推广至其他新环境适应场景
为缓解大学新生适应大学生活困难的问题，我们开发了基于GPT-4o的NOVI聊天机器人系统。该系统利用韩国科学技术院（SKKU）'Everytime'校园社区网站的帖子与评论数据进行训练。系统采用LangChain框架构建，并通过BLEU、Perplexity、ROUGE-1、ROUGE-2、ROUGE-L及METEOR等多维度指标进行性能评估。该方法不仅适用于帮助大学新生，还可拓展至其他需适应新环境的群体。本研究探索新型教育技术工具的开发与应用，助力初学者更顺利融入社会，为大模型在教育领域的进一步研究奠定基础。
原文摘要 · Abstract (English)
To mitigate the difficulties of university freshmen in adapting to university life, we developed NOVI, a chatbot system based on GPT-4o. This system utilizes post and comment data from SKKU 'Everytime', a university community site. Developed using LangChain, NOVI's performance has been evaluated with a BLEU score, Perplexity score, ROUGE-1 score, ROUGE-2 score, ROUGE-L score and METEOR score. This approach is not only limited to help university freshmen but is also expected to help various people adapting to new environments with different data. This research explores the development and potential application of new educational technology tools, contributing to easier social adaptation for beginners and settling a foundation for future advancement in LLM studies.
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