多模态大模型遗忘新思路，模型合并实现持续去学习，破解隐私与安全难题。
arXiv:2608.04548v1 Announce Type: cross Abstract: Multimodal large language model (MLLM) unlearning methods have been proposed to remove private, sens…
大模型遗忘难题新解，轨迹引导网络实现精准、可持续的知识擦除，兼顾隐私与性能。
arXiv:2608.03123v1 Announce Type: new Abstract: Machine unlearning aims to eliminate the influence of sensitive data on a model. In the real world, un…
面向扩散模型的持续概念遗忘方案，能按顺序反复移除概念而不崩，适配隐私、版权、安全等动态合规需求。
arXiv:2512.02657v2 Announce Type: replace-cross Abstract: Real-world deployment of text-to-image diffusion models requires continual concept removal a…