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#coreset-selection News & Analysis

2 articles tagged with #coreset-selection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv โ€“ CS AI ยท Mar 47/103
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FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection

Researchers propose FAST, a new DNN-free framework for coreset selection that compresses large datasets into representative subsets for training deep neural networks. The method uses frequency-domain distribution matching and achieves 9.12% average accuracy improvement while reducing power consumption by 96.57% compared to existing methods.

AINeutralarXiv โ€“ CS AI ยท 6d ago6/10
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GRACE: A Dynamic Coreset Selection Framework for Large Language Model Optimization

Researchers propose GRACE, a dynamic coreset selection framework that reduces LLM training costs by intelligently selecting representative dataset subsets. The method combines representation diversity with gradient-based metrics and uses k-NN graph propagation to adapt to evolving training dynamics, demonstrating improved efficiency across multiple benchmarks.