ACL 2022long12 citations
ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments
Ruolan Yang, Zitong Li, Haifeng Tang, Kenny Zhu
Abstract
Existing automatic evaluation systems of chatbots mostly rely on static chat scripts as ground truth, which is hard to obtain, and requires access to the models of the bots as a form of “white-box testing”. Interactive evaluation mitigates this problem but requires human involvement. In our work, we propose an interactive chatbot evaluation framework in which chatbots compete with each other like in a sports tournament, using flexible scoring metrics. This framework can efficiently rank chatbots independently from their model architectures and the domains for which they are trained.
BibTeX
@inproceedings{yang-etal-2022-chatmatch,
title = "{C}hat{M}atch: Evaluating Chatbots by Autonomous Chat Tournaments",
author = "Yang, Ruolan and
Li, Zitong and
Tang, Haifeng and
Zhu, Kenny",
editor = "Muresan, Smaranda and
Nakov, Preslav and
Villavicencio, Aline",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.acl-long.522/",
doi = "10.18653/v1/2022.acl-long.522",
pages = "7579--7590"
}