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ResearchFormerly WizWand

Multimodal Reasoning on MMBench (Accuracy and Efficiency)

64.35MMBench AccuracyPDrop
59.077260.446161.81563.1839May 10, 2026
Updated 5mo ago

Evaluation results

MethodLinks
PDropRetain Tokens=2882026.0564.3599.284.72105.96
COASTRetain Tokens=2882026.0564.1899.634.68104.45
LLaVA-v1.5-7BRetain Tokens=Original2026.0564.091008.54167.5
V^2DropRetain Tokens=2882026.0564.0999.594.68136.4
MMTOKRetain Tokens=2882026.0564.0998.624.51125.75
SparseVLMRetain Tokens=2882026.0564.0899.135.02109.12
COASTRetain Tokens=1922026.0563.9299.793.4489.93
SparseVLMRetain Tokens=1922026.0563.7598.393.8692.07
FastVRetain Tokens=2882026.0563.7599.254.7125.8
SparseVLMRetain Tokens=1282026.0563.6697.812.968.73
MMTOKRetain Tokens=1922026.0563.6697.773.2594.62
COASTRetain Tokens=1282026.0563.5798.642.677.94
FastVRetain Tokens=1922026.0562.9798.323.4484.22
PDropRetain Tokens=1922026.0562.6397.083.4681.94
MMTOKRetain Tokens=1282026.0562.4696.992.4280.47
V^2DropRetain Tokens=1922026.0562.3798.533.42113.78
FastVRetain Tokens=1282026.0561.6896.82.6274.28
PDropRetain Tokens=1282026.0561.695.772.6867.59
V^2DropRetain Tokens=1282026.0559.2896.22.5992.8