Kailun Tao
2021
KuiLeiXi: a Chinese Open-Ended Text Adventure Game
Yadong Xi
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Xiaoxi Mao
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Le Li
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Lei Lin
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Yanjiang Chen
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Shuhan Yang
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Xuhan Chen
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Kailun Tao
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Zhi Li
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Gongzheng Li
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Lin Jiang
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Siyan Liu
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Zeng Zhao
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Minlie Huang
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Changjie Fan
|
Zhipeng Hu
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
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. 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. 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.
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Co-authors
- Yadong Xi 1
- Xiaoxi Mao 1
- Le Li 1
- Lei Lin 1
- Yanjiang Chen 1
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