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#data-pruning News & Analysis

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

2 articles
AINeutralApple Machine Learning · Apr 136/10
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Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts

Researchers present a data pruning technique that improves how large language models memorize factual knowledge by optimizing training data distribution. The work, grounded in information-theoretic analysis, addresses the gap between theoretical model capacity and actual factual accuracy, offering practical methods to reduce hallucinations in knowledge-intensive tasks.

AIBullisharXiv – CS AI · Mar 36/103
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Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training

Researchers have developed ST-Prune, a dynamic sample pruning technique that accelerates training of deep learning models for spatio-temporal forecasting by intelligently selecting the most informative data samples. The method significantly improves training efficiency while maintaining or enhancing model performance on real-world datasets from transportation, climate science, and urban planning domains.