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ResearchFormerly WizWand

Classification on MLLMU-Bench (Retain Set)

67.07AccuracyGA
23.400434.737746.07557.4123Feb 21, 2025May 8, 2025Jul 24, 2025Oct 8, 2025Dec 24, 2025Mar 10, 2026May 26, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GABackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0567.07
NPOBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0567.07
KL_MinBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0566.87
BaseBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0566.46
POBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0564.85
GA_DiffBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0564.65
RMUBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0563.03
GABackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0555.6
BaseBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0551.62
NPOBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0551.45
VGIDBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0550.8
Noise-TBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0550.73
KL_MinBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0550.52
ICU-TBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0548.96
POBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0548
GA_DiffBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0546.8
VanillaBase Model=LLaVA-1.5-7B, Forget Percentage=5%2025.0246.11
ICU-TBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0545.83
VGIDBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0544.2
RMUBackbone=LLaVA-1.5-7B, Forget Ratio=5%2026.0544.14
VGIDBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0543.72
Noise-TBackbone=Qwen2.5-VL-3B, Forget Ratio=5%2026.0543.62
MANUBase Model=LLaVA-1.5-7B, Forget Percentage=5%2025.0243.38
RMUBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0541.6
Noise-TBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0541.4
ICU-TBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0539.61
POBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0539.15
NPOBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0538.69
BaseBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0538.39
GABackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0535.09
GA_DiffBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0535.09
KL_MinBackbone=LLaVA-1.5-13B, Forget Ratio=5%2026.0525.08