AI模型遗忘的安全隐患触目惊心，SAGE提出后处理方案在保留核心能力的同时彻底清除敏感数据
arXiv:2606.18309v1 Announce Type: new Abstract: Large Language Model (LLM) unlearning aims to remove undesirable knowledge or behaviors while preservi…
多轮LLM迭代优化，法语医疗对话转录准确率与说话人归属大幅提升，突破30%词错误率瓶颈
arXiv:2603.00086v2 Announce Type: replace Abstract: Automatic speech recognition for French medical conversations remains challenging, with word error…
提出通过提示注入对LLM进行指纹识别，破解模型衍生关系判断难题，为AI安全溯源提供新思路。
arXiv:2509.25448v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are often modified after release through post-processing such a…
Vercel揭秘v0复合模型：融合RAG、LLM与后处理模型，显著提升代码生成质量
We recently launched our AI models v0-1.5-md , v0-1.5-lg , and v0-1.0-md in v0 . Today, we're sharing a deep dive into the composite model architectur…