Search Results for author: Katy Ilonka Gero

Found 6 papers, 0 papers with code

Not Just Novelty: A Longitudinal Study on Utility and Customization of AI Workflows

no code implementations15 Feb 2024 Tao Long, Katy Ilonka Gero, Lydia B. Chilton

Although there is an undeniable lure of AI, it's uncertain how useful generative AI workflows are after the novelty wears off.

Supporting Sensemaking of Large Language Model Outputs at Scale

no code implementations24 Jan 2024 Katy Ilonka Gero, Chelse Swoopes, Ziwei Gu, Jonathan K. Kummerfeld, Elena L. Glassman

Large language models (LLMs) are capable of generating multiple responses to a single prompt, yet little effort has been expended to help end-users or system designers make use of this capability.

Language Modelling Large Language Model

Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media

no code implementations20 May 2023 Tao Long, Dorothy Zhang, Grace Li, Batool Taraif, Samia Menon, Kynnedy Simone Smith, Sitong Wang, Katy Ilonka Gero, Lydia B. Chilton

Communicating science and technology is essential for the public to understand and engage in a rapidly changing world.

Sparks: Inspiration for Science Writing using Language Models

no code implementations In2Writing (ACL) 2022 Katy Ilonka Gero, Vivian Liu, Lydia B. Chilton

Large-scale language models are rapidly improving, performing well on a wide variety of tasks with little to no customization.

Language Modelling

Cannot find the paper you are looking for? You can Submit a new open access paper.