UnLOK-VQA adds rephrase and neighborhood samples to OK-VQA to measure generalization and specificity of multimodal unlearning, and its evaluation shows that hiding answer tokens in hidden states beats other deletion objectives.
Gems: Scene expansion using generative models of graphs
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Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
UnLOK-VQA adds rephrase and neighborhood samples to OK-VQA to measure generalization and specificity of multimodal unlearning, and its evaluation shows that hiding answer tokens in hidden states beats other deletion objectives.