Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment.

arXiv:2610.07023v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable capabilities but remain vulnerable to jailbreak attacks that elicit harmful or unsafe outputs. Existing safety alignment approaches, including Supervised Fine