Representational alignment yields generalizable safety in language models

Lingyu Li, Yan Teng, Yingchun Wang +1

Aligning large language models (LLMs) is essential for their safe deployment. Current alignment methods mainly optimize observable responses, yet models remain vulnerable when the…