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An AI system to help scientists write expert-level empirical software

Fuente: arXiv

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Bibliographic Details
Main Authors:	Aygün, Eser, Belyaeva, Anastasiya, Comanici, Gheorghe, Coram, Marc, Cui, Hao, Garrison, Jake, Kast, Renee Johnston Anton, McLean, Cory Y., Norgaard, Peter, Shamsi, Zahra, Smalling, David, Thompson, James, Venugopalan, Subhashini, Williams, Brian P., He, Chujun, Martinson, Sarah, Plomecka, Martyna, Wei, Lai, Zhou, Yuchen, Zhu, Qian-Ze, Abraham, Matthew, Brand, Erica, Bulanova, Anna, Cardille, Jeffrey A., Co, Chris, Ellsworth, Scott, Joseph, Grace, Kane, Malcolm, Krueger, Ryan, Kartiwa, Johan, Liebling, Dan, Lueckmann, Jan-Matthis, Raccuglia, Paul, Xuefei, Wang, Chou, Katherine, Manyika, James, Matias, Yossi, Platt, John C., Dorfman, Lizzie, Mourad, Shibl, Brenner, Michael P.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Quantitative Methods
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.06503