Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool
Ben Swanson, Kory Mathewson, Ben Pietrzak, Sherol Chen, Monica Dinalescu
Abstract
Few shot learning with large language models has the potential to give individuals without formal machine learning training the access to a wide range of text to text models. We consider how this applies to creative writers and present Story Centaur, a user interface for prototyping few shot models and a set of recombinable web components that deploy them. Story Centaur’s goal is to expose creative writers to few shot learning with a simple but powerful interface that lets them compose their own co-creation tools that further their own unique artistic directions. We build out several examples of such tools, and in the process probe the boundaries and issues surrounding generation with large language models.- Anthology ID:
- 2021.eacl-demos.29
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 244–256
- Language:
- URL:
- https://aclanthology.org/2021.eacl-demos.29
- DOI:
- 10.18653/v1/2021.eacl-demos.29
- Cite (ACL):
- Ben Swanson, Kory Mathewson, Ben Pietrzak, Sherol Chen, and Monica Dinalescu. 2021. Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 244–256, Online. Association for Computational Linguistics.
- Cite (Informal):
- Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool (Swanson et al., EACL 2021)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2021.eacl-demos.29.pdf