RT Journal Article
SR Electronic
T1 A publishing infrastructure for AI-assisted academic authoring
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2023.01.21.525030
DO 10.1101/2023.01.21.525030
A1 Pividori, Milton
A1 Greene, Casey S.
YR 2023
UL http://biorxiv.org/content/early/2023/01/23/2023.01.21.525030.abstract
AB In this work we investigate how models with advanced natural language processing capabilities can be used to reduce the time-consuming process of writing and revising scholarly manuscripts. To this end, we integrate large language models into the Manubot publishing ecosystem to suggest revisions for scholarly text. We tested our AI-based revision workflow in three case studies of existing manuscripts, including the present one. Our results suggest that these models can capture the concepts in the scholarly text and produce high-quality revisions that improve clarity. Given the amount of time that researchers put into crafting prose, we anticipate that this advance will revolutionize the type of knowledge work performed by academics.Competing Interest StatementThe authors have declared no competing interest.