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Can Native Safety Travel? Reusing Safety Pretraining Across Models via On-Policy Distillation

Shang, Bingqi et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learning
Safety pretraining has emerged as a promising paradigm for embedding safety deeply into a model during pretraining, yielding robustness to subsequent fine-tuning that conventional safety post-training often lacks. We refer to this safety acquired during model pretraining as native safety. Yet native
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