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Safety Mid-Training: Internalizing LLM Safety as a Foundational Capability

Zhao, Zhengyue et al.
arXiv (All) · Papers
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computation-and-language
Safety alignment for large language models (LLMs) is primarily performed during post-training, while recent work has also begun incorporating safety data into pre-training. Yet safety can degrade when later training no longer includes safety data, and gains in safety often come at the cost of genera
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