CAREER: Numerically Literate AI via the Large Number Model and Foundational Data Curation — NSF Award to Florida State University
Many modern Artificial Intelligence (AI) models can produce meaningful text, but they often fail on complex structural and numerical data involving different units, formulas, information describing the data (i.e., metadata), and hierarchies. These failures are especially concerning in areas such as medicine, finance, d
| Award title | CAREER: Numerically Literate AI via the Large Number Model and Foundational Data Curation |
|---|---|
| Award ID | 2544222 |
| Awardee | Florida State University |
| City | TALLAHASSEE |
| State | FL |
| Amount obligated | $301,560 |
| Principal investigator | Michael Gubanov |
| Program | Info Integration & Informatics |
| Start date | 10/01/2026 |
| Abstract | Many modern Artificial Intelligence (AI) models can produce meaningful text, but they often fail on complex structural and numerical data involving different units, formulas, information describing the data (i.e., metadata), and hierarchies. These failures are especially concerning in areas such as medicine, finance, defense, and space, where even small quantitative mistakes can lead to misleading conclusions and significant negative consequences. This project aims to address this problem by dev |
| Source | NSF Awards |
$799/mo
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