132 citations · 163 across the 5 of their papers we have counts for
5 papers
Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective
Yi Wang, Max Kreminski
Story generation has been a prominent application of Large Language Models (LLMs). However, understanding LLMs' ability to produce high-quality stories remains limited due to chall…
Patchview: LLM-Powered Worldbuilding with Generative Dust and Magnet Visualization
John Joon Young Chung, Max Kreminski
Large language models (LLMs) can help writers build story worlds by generating world elements, such as factions, characters, and locations. However, making sense of many generated…
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
Phoebe J. Wang, Max Kreminski
Instruction-tuned large language models (LLMs) are capable of generating stories in response to open-ended user requests, but the resulting stories tend to be limited in their dive…
The Dearth of the Author in AI-Supported Writing
Max Kreminski
We diagnose and briefly discuss the dearth of the author: a condition that arises when AI-based creativity support tools for writing allow users to produce large amounts of text wi…
A Design Space for Intelligent and Interactive Writing Assistants
Mina Lee, Katy Ilonka Gero, John Joon Young Chung +33
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to addr…