CMJU: cross-modal joint unlearning for balanced forgetting in multimodal large language models
Multimodal large language models (MLLMs) may memorize private or sensitive knowledge from training data, making unlearning important for safe deployment. Existing studies have shown that unlearning in MLLMs can remain inconsistent across multimodal and text-only inputs: target knowledge that has been forgotten through...