Using Language Models to Convert Between Natural Language and Game Commands

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https://openreview.net/forum?id=jQSStHwtmDN

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http://hdl.handle.net/11603/31771

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UMBC Computer Science and Electrical Engineering Department

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https://orcid.org/0000-0002-0623-599X

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2022-07-05

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journal articles
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Abstract

Dungeons and Dragons is a popular tabletop role-playing game that has been adapted to online play. In this paper, we look at enhancing a Discord Bot called Avrae that is developed by D&D Beyond to help with online play. Avrae enables users to manage gameplay through Unix-like commands. We explore using language models to automatically translate player dialogue into Avrae's commands. We use GPT-3's few shot learning and fine tuning capabilities and achieve 64% accuracy. We also explore the reverse direction, where commands are rendered as descriptive text, suggesting that it may eventually be possible to combine Avrae and LMs to create a system that is capable of role-playing alongside players.