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MZ
Researcher

Morteza Zadimoghaddam

Research Scientist at Google Research

Introduced GIST, a novel algorithm for selecting high-quality data subsets that maximizes both data diversity and data utility.

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Matthew FahrbachResearcher
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Google Introduces GIST, a Provable Smart-Sampling Algorithm Balancing Data Diversity and Utility for Large Datasets
GoogleannouncementpositiveJan 26, 2026

Google introduced GIST, a provably-efficient algorithm that balances data diversity and utility for subset selection in large datasets, outperforming state-of-the-art benchmarks on image classification tasks.

“Introduced GIST, a novel algorithm for selecting high-quality data subsets that maximizes both data diversity and data utility.”

AI ResearchFoundation ModelsMachine LearningData Efficiency