Paper Info
Title
Kuileixi: A Chinese Open-Ended Text Adventure Game
Abstract
There is a long history of research related to automated story generation, dating back as far as the 1970s. Recently, the rapid development of pre-trained language models has spurred great progresses in this field. Equipped with GPT-2 and the latest GPT-3, AI Dungeon has been seen as a famous example of the powerful text generation capabilities of large-scale pre-trained language models, and a possibility for future games. However, as a game, AI Dungeon lacks incentives to players and relies entirely on players to explore on their own. This makes players' enthusiasm decline rapidly. In this paper, we present an open-ended text adventure game in Chinese, named as KuiLeiXi(1). In KuiLeiXi, players need to interact with the AI until the pre-determined plot goals are reached. By introducing the plot goals, players have a stronger incentive to explore ways to reach plot goals, while the AI's abilities are not abused to generate harmful contents. This limited freedom allows this game to be integrated as a part of a romance simulation mobile game, Yu Jian Love(2). Since KuiLeiXi was launched, it has received a lot of positive feedbacks from more than 100,000 players. A demo video is available at https://youtu.be/DyYZhxMRrkk.
Year
DOI
Venue
2021
10.18653/v1/2021.acl-demo.21
ACL-IJCNLP 2021: THE JOINT CONFERENCE OF THE 59TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 11TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
16
Name
Order
Citations
PageRank
Yadong Xi101.01
Xiaoxi Mao200.34
Le Li300.68
Lei Lin400.34
Yanjiang Chen500.34
Shuhan Yang600.34
Xuhan Chen700.34
Kailun Tao800.34
Zhi Li900.34
Gongzheng Li1000.68
Lin Jiang1154338.42
Siyan Liu1200.34
Zeng Zhao1300.34
Minlie Huang14126090.68
Changjie Fan155721.37
Zhipeng Hu16123.48