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No Free Efficiency: Revisiting the Trade-off Between Training Efficiency and Model Vulnerability
Training efficiency has become the central driver of recent progress in foundation models. To overcome the massive computational and data requirements of large-scale training, researchers increasingly adopt strategies such as selective data sampling, efficient pre-training, and simplified reinforcem
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