作者位次 #3/8ACL 2026Findings· Findings of ACL
RLS hield: Dynamic Jailbreak Detection for LLM s via Reinforced Adaptive Learning
Zhao Tong · Pengfei Yang · Yimeng Gu · Haichao Shi · Qiang Liu · Xingcheng Xu · shu wu · Xiao-Yu Zhang
摘要
While prompt engineering enhances the capabilities of Large Language Models (LLMs), it also exposes critical safety concerns. Due to the inherent brittleness of their static safety boundaries, LLMs are vulnerable to jailbreak prompts, i.e. adversarial inputs designed to bypass safeguards and indu...