LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts

被引：2

作者：

Tu, Shangqing ^{[1
]}

Zhang, Zheyuan ^{[1
]}

Yu, Jifan ^{[1
]}

Li, Chunyang ^{[1
]}

Zhang, Siyu ^{[1
]}

Yao, Zijun ^{[1
]}

Hou, Lei ^{[1
]}

Li, Juanzi ^{[1
]}

机构：

[1] Tsinghua Univ, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023 | 2023年

基金：

中国国家自然科学基金;

关键词：

Educational Support; Dialogue System; Language Model Prompts; Virtual Teaching Assistant;

D O I：

10.1145/3583780.3615484

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Teaching assistants have played essential roles in the long history of education. However, few MOOC platforms are providing human or virtual teaching assistants to support learning for massive online students due to the complexity of real-world online education scenarios and the lack of training data. In this paper, we present a virtual MOOC teaching assistant, LittleMu with minimum labeled training data, to provide question answering and chit-chat services. Consisting of two interactive modules of heterogeneous retrieval and language model prompting, LittleMu first integrates structural, semi- and unstructured knowledge sources to support accurate answers for a wide range of questions. Then, we design delicate demonstrations named "Chain of Teach" prompts to exploit the large-scale pre-trained model to handle complex uncollected questions. Except for question answering, we develop other educational services such as knowledge-grounded chit-chat. We test the system's performance via both offline evaluation and online deployment. Since May 2020, our LittleMu system has served over 80,000 users with over 300,000 queries from over 500 courses on XuetangX MOOC platform, which continuously contributes to a more convenient and fair education. Our code, services, and dataset will be available at https://github.com/THU-KEG/VTA.

引用

页码：4843 / 4849

页数：7