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• 论文公开站arXiv2026年10月5日 2:13

  LESSER: Post-Training Data Selection with Output-Layer Gradients

  The choice of post-training data for large language models substantially affects downstream performance. Gradient-based data selection is a popular approach that ranks training data by how well their gradients align with those of a small validation set. However, ranking with full

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