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Image Understanding on MMBench CN
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58.1
Accuracy
Vanilla
45.62
48.86
52.1
55.34
Feb 23, 2026
Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Accuracy
Vanilla
Base Model=LLaVA-1.5-7...
2026.02
58.1
ApET
Base Model=LLaVA-1.5-7...
2026.02
57.9
FastV
Base Model=LLaVA-1.5-7...
2026.02
57
PDrop
Base Model=LLaVA-1.5-7...
2026.02
56.8
PDrop
Base Model=LLaVA-1.5-7...
2026.02
56.6
FastV
Base Model=LLaVA-1.5-7...
2026.02
56.4
ApET
Base Model=LLaVA-1.5-7...
2026.02
56.4
ApET
Base Model=LLaVA-1.5-7...
2026.02
54.4
SparseVLM
Base Model=LLaVA-1.5-7...
2026.02
53.7
FastV
Base Model=LLaVA-1.5-7...
2026.02
52.7
SparseVLM
Base Model=LLaVA-1.5-7...
2026.02
51.1
PDrop
Base Model=LLaVA-1.5-7...
2026.02
50.5
SparseVLM
Base Model=LLaVA-1.5-7...
2026.02
46.1
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