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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.13771 |
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| _version_ | 1866908273071882240 |
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| author | Liebling, Daniel J. Kane, Malcolm Grunde-Mclaughlin, Madeleine Lang, Ian J. Venugopalan, Subhashini Brenner, Michael P. |
| author_facet | Liebling, Daniel J. Kane, Malcolm Grunde-Mclaughlin, Madeleine Lang, Ian J. Venugopalan, Subhashini Brenner, Michael P. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_13771 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards AI-assisted Academic Writing Liebling, Daniel J. Kane, Malcolm Grunde-Mclaughlin, Madeleine Lang, Ian J. Venugopalan, Subhashini Brenner, Michael P. Artificial Intelligence 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. |
| title | Towards AI-assisted Academic Writing |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2503.13771 |