no code implementations • 21 Mar 2024 • Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities.
no code implementations • 15 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.
no code implementations • 24 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.
no code implementations • 20 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.
no code implementations • 22 Oct 2021 • Katy Ilonka Gero, Chris Kedzie, Savvas Petridis, Lydia Chilton
Language models are known to produce vague and generic outputs.
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.