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ResearchFormerly WizWand

Image Understanding on MMBench CN

60.6AccuracyVanilla
45.5249.43553.3557.265May 15, 2025Jul 1, 2025Aug 17, 2025Oct 4, 2025Nov 20, 2025Jan 6, 2026Feb 23, 2026
Updated 8mo ago

Evaluation results

MethodLinks
VanillaBackbone=LLaVA-Next-7B, Token Reduction Rate=0.0%2025.0560.6
MoB (with η-prior)Backbone=LLaVA-Next-7B, Objectives=PA VP, Pruning budget K=320, Token Reduction Rate=88.9%2025.0558.9
DARTBackbone=LLaVA-Next-7B, Objectives=VP, Pruning budget K=320, Token Reduction Rate=88.9%2025.0558.2
VanillaBase Model=LLaVA-1.5-7B, Retained Tokens=576, Reduction Rate=0%2026.0258.1
VanillaBackbone=LLaVA-1.5-7B, Token Reduction Rate=0.0%2025.0558.1
ApETBase Model=LLaVA-1.5-7B, Retained Tokens=192, Reduction Rate=66.7%2026.0257.9
MoB (+ η-prior)Backbone=LLaVA-1.5-7B, Objectives=-, Pruning budget K=192, Token Reduction Rate=66.7%2025.0557.8
MoB (w/o η-prior)Backbone=LLaVA-1.5-7B, Objectives=PA VP, Pruning budget K=192, Token Reduction Rate=66.7%2025.0557.5
DARTBackbone=LLaVA-1.5-7B, Objectives=VP, Pruning budget K=128, Token Reduction Rate=77.8%2025.0557.5
MoB (+ η-prior)Backbone=LLaVA-1.5-7B, Objectives=-, Pruning budget K=128, Token Reduction Rate=77.8%2025.0557.5
MoB (w/o η-prior)Backbone=LLaVA-1.5-7B, Objectives=PA VP, Pruning budget K=128, Token Reduction Rate=77.8%2025.0557.3
FastVBase Model=LLaVA-1.5-7B, Retained Tokens=192, Reduction Rate=66.7%2026.0257
FastVBackbone=LLaVA-1.5-7B, Objectives=VP, Pruning budget K=192, Token Reduction Rate=66.7%2025.0557
DARTBackbone=LLaVA-1.5-7B, Objectives=VP, Pruning budget K=192, Token Reduction Rate=66.7%2025.0557
PDropBase Model=LLaVA-1.5-7B, Retained Tokens=192, Reduction Rate=66.7%2026.0256.8
PDropBase Model=LLaVA-1.5-7B, Retained Tokens=128, Reduction Rate=77.8%2026.0256.6
FastVBase Model=LLaVA-1.5-7B, Retained Tokens=128, Reduction Rate=77.8%2026.0256.4
ApETBase Model=LLaVA-1.5-7B, Retained Tokens=128, Reduction Rate=77.8%2026.0256.4
FastVBackbone=LLaVA-1.5-7B, Objectives=VP, Pruning budget K=128, Token Reduction Rate=77.8%2025.0556.4
MustDropBackbone=LLaVA-1.5-7B, Objectives=PA VP, Pruning budget K=192, Token Reduction Rate=66.7%2025.0555.8
MustDropBackbone=LLaVA-1.5-7B, Objectives=PA VP, Pruning budget K=128, Token Reduction Rate=77.8%2025.0555.2
MustDropBackbone=LLaVA-Next-7B, Objectives=PA VP, Pruning budget K=320, Token Reduction Rate=88.9%2025.0555.1
MoB (+ η-prior)Backbone=LLaVA-1.5-7B, Objectives=-, Pruning budget K=64, Token Reduction Rate=88.9%2025.0554.5
SparseVLMBackbone=LLaVA-Next-7B, Objectives=PA, Pruning budget K=320, Token Reduction Rate=88.9%2025.0554.5
ApETBase Model=LLaVA-1.5-7B, Retained Tokens=64, Reduction Rate=88.9%2026.0254.4
MoB (w/o η-prior)Backbone=LLaVA-1.5-7B, Objectives=PA VP, Pruning budget K=64, Token Reduction Rate=88.9%2025.0554.2
SparseVLMBase Model=LLaVA-1.5-7B, Retained Tokens=192, Reduction Rate=66.7%2026.0253.7
SparseVLMBackbone=LLaVA-1.5-7B, Objectives=PA, Pruning budget K=192, Token Reduction Rate=66.7%2025.0553.7
FasterVLMBackbone=LLaVA-Next-7B, Objectives=VP, Pruning budget K=320, Token Reduction Rate=88.9%2025.0553.5
DARTBackbone=LLaVA-1.5-7B, Objectives=VP, Pruning budget K=64, Token Reduction Rate=88.9%2025.0553.2
MustDropBackbone=LLaVA-1.5-7B, Objectives=PA VP, Pruning budget K=64, Token Reduction Rate=88.9%2025.0553.1
FastVBase Model=LLaVA-1.5-7B, Retained Tokens=64, Reduction Rate=88.9%2026.0252.7
FastVBackbone=LLaVA-1.5-7B, Objectives=VP, Pruning budget K=64, Token Reduction Rate=88.9%2025.0552.7
FastVBackbone=LLaVA-Next-7B, Objectives=VP, Pruning budget K=320, Token Reduction Rate=88.9%2025.0551.9
SparseVLMBase Model=LLaVA-1.5-7B, Retained Tokens=128, Reduction Rate=77.8%2026.0251.1
SparseVLMBackbone=LLaVA-1.5-7B, Objectives=PA, Pruning budget K=128, Token Reduction Rate=77.8%2025.0551.1
PDropBase Model=LLaVA-1.5-7B, Retained Tokens=64, Reduction Rate=88.9%2026.0250.5
SparseVLMBase Model=LLaVA-1.5-7B, Retained Tokens=64, Reduction Rate=88.9%2026.0246.1
SparseVLMBackbone=LLaVA-1.5-7B, Objectives=PA, Pruning budget K=64, Token Reduction Rate=88.9%2025.0546.1