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
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.eacl-demos.29.pdf