Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs 事件

Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs arXiv:2511.20158v2 Announce Type: replace Abstract: While continual visual instruction tuning (CVIT) has shown promise in adapting multimodal large language models (MLLMs), existing studies predominantly focus on models without safety alignment. This critical oversight ignores the fact that real-world MLLMs inherently require such mechanisms to mitigate potential risks. In this work, we shift our foc