One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems

Yajiao Liu; Xin Jiang; Yichun Yin; Yasheng Wang; Fei Mi; Qun Liu; Xiang Wan; Benyou Wang

doi:10.18653/v1/2023.acl-long.1

ACL2023顶会

One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems

Yajiao Liu, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan, Benyou Wang

DOI 出版方

2023年份

5被引次数

7顶会引用

摘要

User simulators are agents designed to imitate human users; recent advances have found that Task-oriented Dialogue (ToD) systems optimized toward a user simulator could better satisfy the need of human users. However, this might result in a sub-optimal ToD system if it is tailored to only one ad hoc user simulator, since human users can behave differently. In this paper, we propose a framework called MUST 1 to optimize ToD systems via leveraging Multiple User SimulaTors.