EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin,Jiaju Lin, Linhao Ye,Zhiyan Tie,Yougen Zhou,Yilei Wang,Aimin Zhou,Ze Zhou,Qin Chen,Jie Zhou,Liang He,Xipeng Qiu

CoRR(2023)

引用 4|浏览128
暂无评分
摘要
EduChat (https://www.educhat.top/) is a large-scale language model (LLM)-based chatbot system in the education domain. Its goal is to support personalized, fair, and compassionate intelligent education, serving teachers, students, and parents. Guided by theories from psychology and education, it further strengthens educational functions such as open question answering, essay assessment, Socratic teaching, and emotional support based on the existing basic LLMs. Particularly, we learn domain-specific knowledge by pre-training on the educational corpus and stimulate various skills with tool use by fine-tuning on designed system prompts and instructions. Currently, EduChat is available online as an open-source project, with its code, data, and model parameters available on platforms (e.g., GitHub https://github.com/icalk-nlp/EduChat, Hugging Face https://huggingface.co/ecnu-icalk ). We also prepare a demonstration of its capabilities online (https://vimeo.com/851004454). This initiative aims to promote research and applications of LLMs for intelligent education.
更多
查看译文
关键词
chatbot system,intelligent education,language,large-scale,model-based
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要