NSF award 2618593 · University of California-Santa Barbara

III: Optimizing Neural Sparse Representations for Efficient Text Document Retrieval

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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award ending 2029-07-31 · Research.gov
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Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
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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 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2618593
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $750,000
Awardee: University of California-Santa Barbara, Santa Barbara, CA
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Modern artificial intelligence (AI) systems, like large language models, have completely transformed document retrieval; that is, how computers search for information and answer our questions. They are incredibly effective at semantically matching what a user queries (i.e., by typing a question) with the most relevant documents. However, running these massive AI models for document retrieval are very expensive and…

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