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Multimodal Machine Unlearning on MLLMU-Bench

29.6Forget VQA AccuracyCVF
28.57635.48842.449.312May 7, 2026

Evaluation results

MethodLinks
CVFBackbone=LLaVA-1.5-7B2026.0529.638.44537.54754.9
MMUBackbone=LLaVA-1.5-7B2026.0531.234.244.235.146.754.9
GA_DiffBackbone=LLaVA-1.5-7B2026.054033.644.331.546.653.6
MANUBackbone=LLaVA-1.5-7B2026.0541.633.643.232.146.354.8
KL_MinBackbone=LLaVA-1.5-7B2026.0542.433.644.93247.454.6
CVFBackbone=Qwen2-VL-7B2026.0542.8555658.675.477.5
GABackbone=LLaVA-1.5-7B2026.0543.232.54532.24754.7
NPOBackbone=LLaVA-1.5-7B2026.0543.233.644.932.24754.7
MANUBackbone=Qwen2-VL-7B2026.0543.247.243.249.473.776.2
MMUBackbone=Qwen2-VL-7B2026.054454.447.455.775.277.3
KL_MinBackbone=Qwen2-VL-7B2026.0545.645.335.955.674.877.1
VanillaBackbone=LLaVA-1.5-7B2026.0545.838.445.237.547.454.9
NPOBackbone=Qwen2-VL-7B2026.0549.650.449.553.375.278.3
GABackbone=Qwen2-VL-7B2026.0550.446.751.557.674.477.8
GA_DiffBackbone=Qwen2-VL-7B2026.0554.452.838.854.474.577
VanillaBackbone=Qwen2-VL-7B2026.0555.2555658.677.377.5