DNAlign: Dynamic Null-Space Safe Alignment for LLMs
Ensuring the safe and reliable deployment of large language models (LLMs) remains a fundamental challenge. Existing safety alignment approaches either incur high computational cost or unintentionally disrupt the model's core knowledge, leading to degraded fluency and factual accuracy on benign tasks. This reveals a per...
Ji-Sheng Dang, Yu-Shu Zhao, De-Wei Liu et al.
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