NSF award 2542853 · University of Missouri-Kansas City

CAREER: Understanding the Inner Mechanism of Transformer Neural Operators

Final report due

28 November 2031

in 1,867 days · The award ends on 31 July 2031.

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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2031in 1737 days
award ending 2031-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2031in 1867 days
award ending 2031-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2031in 1867 days
award ending 2031-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2031in 1867 days
award ending 2031-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 July 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2031.

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Award card

Award number: 2542853
Period of support: 1 Aug 2026 – 31 Jul 2031
Amount: $403,875
Awardee: University of Missouri-Kansas City, Columbia, MO
Program: COMPUTATIONAL MATHEMATICS
Directorate: MPS

Abstract

Transformers are the ubiquitous backbone neural network architecture of all modern artificial intelligence (AI) systems used in Computer Vision, Language Modeling, and many scientific disciplines. Despite the revolution brought by the rapid evolution of Transformers, fundamental questions about their inner mathematical mechanisms remain unanswered. Their black-box nature makes their internal decision-making process…

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