[2308.02773] EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
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Computer Science > Computation and Language

arXiv:2308.02773 (cs)
[Submitted on 5 Aug 2023]

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

Authors: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
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Abstract:EduChat (this https URL) 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 this https URL, Hugging Face this https URL ). We also prepare a demonstration of its capabilities online (this https URL). This initiative aims to promote research and applications of LLMs for intelligent education.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2308.02773 [cs.CL]
  (or arXiv:2308.02773v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2308.02773

Submission history

From: Jie Zhou [view email]
[v1] Sat, 5 Aug 2023 02:55:35 UTC (1,210 KB)
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