用内部归因图揭示LLM越狱的运作机制，为AI安全提供新的可解释性视角。
arXiv:2607.07903v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit remarkable capabilities but remain highly vulnerable to adversa…
揭秘大模型安全探针为何在最终token失效：早于最后一层的内部表征已暴露漏洞
arXiv:2605.12726v2 Announce Type: replace Abstract: Final-token safety probes monitor a single hidden state after prompt prefill, but jailbreak prompt…
稀疏自编码器新应用：高效防御LLM越狱攻击，来自ICML可解释性研讨会的前沿研究。
arXiv:2602.12418v2 Announce Type: replace-cross Abstract: Jailbreak attacks remain a persistent threat to large language model safety. We propose Cont…
这篇论文从机制层面探究大模型检测自杀内容的内在工作原理，并提出让因果断言更可信的方法，专业深度十足。
arXiv:2606.21078v1 Announce Type: new Abstract: Large language models are increasingly proposed for mental-health applications such as detecting suici…