Year: 2025
Type: preprint
Abstract: We present components of an AI-assisted academic writing system including citation recommendation and introduction writing. The system recommends citations by considering the user's current document context to provide relevant suggestions. It generates introductions in a structured fashion, situating the contributions of the research relative to prior work. We demonstrate the effectiveness of the components through quantitative evaluations. Finally, the paper presents qualitative research exploring how researchers incorporate citations into their writing workflows. Our findings indicate that there is demand for precise AI-assisted writing systems and simple, effective methods for meeting those needs.
Source: arXiv (Cornell University)
Authors: Liebling, Daniel J., Kane, Malcolm, Grunde-Mclaughlin, Madeleine, Lang, Ian J., Venugopalan, Subhashini, Brenner, Michael P.
Language: English
Subfield: History and Philosophy of Science
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6979366159
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