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Multimodal Evaluation on MM-Vet

64ScoreUpper Bound
32.69640.82348.9557.077Jan 13, 2025Apr 11, 2025Jul 9, 2025Oct 6, 2025Jan 3, 2026Apr 2, 2026Jun 30, 2026

Evaluation results

MethodLinks
Upper BoundBackbone=InternVL2-26B2026.0464———
CLASPBackbone=InternVL2-26B, Token Retention=35%2026.0463.2———
InternVL2-8BModel=InternVL2-8B, Pruning Method=None2025.0960———
PTPModel=InternVL2-8B, Pruning Method=PTP, Pruning Ratio (r)=0.5, Balancing Weight (alpha)=0.52025.0956.9———
ToMeBackbone=InternVL2-26B, Token Retention=35%2026.0452.5———
Qwen-VL-Chat#Vision Tokens=2562026.0347.3———
VisionZipBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0246.8———
VisPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0246.1———
VisPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=960, Pruning Ratio=66.7%2026.0245———
FastVBackbone=InternVL2-26B, Token Retention=35%2026.0445———
FSRBackbone=LLaVA-NeXT-13B, Retained Tokens=960, Pruning Ratio=66.7%2026.0244.7———
FSRBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0244.1———
FastVBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0243.8———
HoloVBackbone=LLaVA-NeXT-13B, Retained Tokens=960, Pruning Ratio=66.7%2026.0242.3———
FSRBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.0242.3———
CDPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.0242.1———
FSRRetained Tokens=640, Reduction Ratio=↓ 77.8%2026.0241.9———
CDPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=960, Pruning Ratio=66.7%2026.0241.7———
CDPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0241.4———
HoloVBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0241.3———
VisionZipBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.0241.1———
FSRRetained Tokens=960, Reduction Ratio=↓ 66.7%2026.0241.1———
CDPrunerRetained Tokens=640, Reduction Ratio=↓ 77.8%2026.0241———
HoloVBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.0240.7———
VisPrunerBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.0239.7———
IDEFICS-80B#Vision Tokens=642026.0339.7———
InternVL2-2BModel=InternVL2-2B, Pruning Method=None2025.0939.6———
FastVRetained Tokens=640, Reduction Ratio=↓ 77.8%2026.0239.5———
FSRRetained Tokens=320, Reduction Ratio=↓ 88.9%2026.0239.3———
DivPruneBackbone=LLaVA-NeXT-13B, Retained Tokens=320, Pruning Ratio=88.9%2026.0239.2———
LLaVA-NeXT-7BRetained Tokens=2880, Reduction Ratio=100%2026.0239.2———
DivPruneBackbone=LLaVA-NeXT-13B, Retained Tokens=640, Pruning Ratio=77.8%2026.0239———
CDPrunerRetained Tokens=960, Reduction Ratio=↓ 66.7%2026.0239———
HoloVRetained Tokens=640, Reduction Ratio=↓ 77.8%2026.0238.9———
FSRBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.0238.8———
PTPModel=InternVL2-2B, Pruning Method=PTP, Pruning Ratio (r)=0.5, Balancing Weight (alpha)=0.52025.0938.6———
VisPrunerRetained Tokens=960, Reduction Ratio=↓ 66.7%2026.0238.5———
VisPrunerRetained Tokens=640, Reduction Ratio=↓ 77.8%2026.0238.5———
DivPruneRetained Tokens=640, Reduction Ratio=↓ 77.8%2026.0238———
FSRBackbone=LLaVA-1.5-13B, Retained Tokens=192, Pruning Ratio=66.7%2026.0237.4———
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.0237.3———
LeoLanguage Model Scale=7B, Training Data Scale=Standard2025.0137.2———
ERABackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0637.2———
ERABackbone=LLaVA-1.5-13B, Retained Tokens=642026.0637.1———
VisPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=192, Pruning Ratio=66.7%2026.0237———
VisPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.0236.9———
VisPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0636.9———
LLaVA-1.5-13BBackbone=LLaVA-1.5-13B, Retained Tokens=576, Pruning Ratio=0%2026.0236.7———
FSRBackbone=LLaVA-1.5-13B, Retained Tokens=64, Pruning Ratio=88.9%2026.0236.7———
CDPrunerRetained Tokens=320, Reduction Ratio=↓ 88.9%2026.0236.7———
LLaVA-NeXT-13BBackbone=LLaVA-NeXT-13B, Retained Tokens=2880, Pruning Ratio=0%2026.0236.6———
HoloVRetained Tokens=320, Reduction Ratio=↓ 88.9%2026.0236.5———
VisPrunerRetained Tokens=320, Reduction Ratio=↓ 88.9%2026.0236.3———
MAGICTarget Model=LLaVA-1.5-13B, Data Budget=20%2026.0536.3———
mPLUG-OwL2#Vision Tokens=10242026.0336.2———
LLaVA-1.5-13B#Vision Tokens=576, Backbone=LLaVA-1.5-13B2026.0336.2———
CDPruner#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0336.2———
LLaVA-1.5-13BBackbone=LLaVA-1.5-13B, Retained Tokens=576 (Upper Bound)2026.0636.2———
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0636.2———
VisPruner#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0336.1———
Full-FinetuneTarget Model=LLaVA-1.5-13B, Data Budget=100%2026.0536.1———
VisionZipBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.0236———
SPHINX#Vision Tokens=2892026.0336———
VisionZip#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0336———
VisionZipBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0636———
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=64, Pruning Ratio=88.9%2026.0235.8———
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=192, Pruning Ratio=66.7%2026.0235.7———
VanillaBackbone=LLaVA-1.5-13B2025.1035.6———
ETABackbone=LLaVA-1.5-13B2025.1035.6———
HoloVBackbone=LLaVA-1.5-13B, Retained Tokens=192, Pruning Ratio=66.7%2026.0235.5———
ECSOBackbone=LLaVA-1.5-13B2025.1035.5———
AutoSteerBackbone=LLaVA-1.5-13B2025.1035.5———
RandomTarget Model=LLaVA-1.5-13B, Data Budget=20%2026.0535.5———
HoloVBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.0235.4———
FMVR-LLaVA#Vision Tokens=576, Backbone=LLaVA-1.5-13B2026.0335.4———
LLaVA-1.5LLM=LLaMA-13B [59], Model Type=Dense Model2025.0735.4——64.2
SparseVLM#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0335.2———
SparseVLMBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0635.2———
CDPrunerBackbone=LLaVA-1.5-13B, Retained Tokens=642026.0635.2———
TRIM#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0335.1———
MoRASBackbone=LLaVA-1.5-13B2025.1035.1———
TRIMBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0635.1———
FSRRetained Tokens=128, Reduction Ratio=77.8%2026.0234.9——98.3
VILALanguage Model Scale=7B, Training Data Scale=Standard2025.0134.9———
Our MethodLLM=Phi2-2.7B [62], Model Type=Sparse Model, Expert Selection (Top-k)=Top42025.0734.9——62.3
DivPruneRetained Tokens=320, Reduction Ratio=↓ 88.9%2026.0234.8———
DART#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0334.8———
ASTRABackbone=LLaVA-1.5-13B2025.1034.8———
DARTBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0634.8———
DivPruneBackbone=LLaVA-1.5-13B, Retained Tokens=128, Pruning Ratio=77.8%2026.0234.4———
HoloVRetained Tokens=960, Reduction Ratio=↓ 66.7%2026.0234.4———
DivPrune#Vision Tokens=128, Backbone=LLaVA-1.5-13B2026.0334.4———
DivPruneBackbone=LLaVA-1.5-13B, Retained Tokens=1282026.0634.4———
FMVR-LLaVA#Vision Tokens=5762026.0334.3———
MoE-LLaVA-4Top2LLM=Phi2-2.7B [62], Model Type=Sparse Model, Expert Selection (Top-k)=4Top22025.0734.3——61.1
FMVR-LLaVA#Vision Tokens=144, Backbone=LLaVA-1.5-13B2026.0334.2———
FlashVLMToken Budget=128 Tokens, Pruning Rate=77.8%2025.1234.1———
HoloVBackbone=LLaVA-1.5-13B, Retained Tokens=64, Pruning Ratio=88.9%2026.0233.9———
CDPrunerRetained Tokens=192, Reduction Ratio=66.7%2026.0233.9——98.5
FSRRetained Tokens=192, Reduction Ratio=66.7%2026.0233.9——99.1