NSF award 2601695 · Virginia Commonwealth University

CICI: RSSD: LLMDaL: LLM-Driven Data Labeling for Training ML Models

Final report due

30 April 2029

in 925 days · The award ends on 31 December 2028.

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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2028in 795 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2029in 925 days
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PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 30 April 2029.

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Award card

Award number: 2601695
Period of support: 1 Jan 2026 – 31 Dec 2028
Amount: $600,000
Awardee: Virginia Commonwealth University, Richmond, VA
Program: Cybersecurity Innovation
Directorate: CSE

Abstract

The LLMDaL project leverages generative Artificial Intelligence (AI) along with data from the AmLight international research and education (R&E) network to provide an essential and previously unavailable building block necessary for automated network defense. The growing complexity and sophistication of modern networks are driving the need for automated cybersecurity and management. Operators of critical…

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