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Multimodal Question Answering on MMBench EN

86.3AccuracyQwen3-VL-8B
57.765.12572.5579.975Jun 16, 2024Oct 18, 2024Feb 19, 2025Jun 24, 2025Oct 26, 2025Feb 27, 2026Jul 2, 2026

Evaluation results

MethodLinks
Qwen3-VL-8BRetained Tokens=1024 Tokens (100%)2026.0786.3
DivPruneRetained Tokens=512 Tokens (↓ 50.0%)2026.0782.1
EADPRetained Tokens=512 Tokens (↓ 50.0%)2026.0781.6
CDPrunerRetained Tokens=512 Tokens (↓ 50.0%)2026.0781
EADPRetained Tokens=256 Tokens (↓ 75.0%)2026.0780.5
DivPruneRetained Tokens=256 Tokens (↓ 75.0%)2026.0780
EADPRetained Tokens=128 Tokens (↓ 87.5%)2026.0779.9
CDPrunerRetained Tokens=256 Tokens (↓ 75.0%)2026.0779.8
CDPrunerRetained Tokens=128 Tokens (↓ 87.5%)2026.0777.9
DivPruneRetained Tokens=128 Tokens (↓ 87.5%)2026.0777
QMoSLoRAModel=InternLM2 + ViT, Initialization=Kaiming uniform, Quantization=4-bit2024.0673.8
QMoSLoRAModel=InternLM2 + ViT, Initialization=Orthogonal, Quantization=4-bit2024.0673.5
MoSLoRAModel=LLaMA-3 + ViT, Initialization=Orthogonal2024.0673
MoSLoRAModel=LLaMA-3 + ViT, Initialization=Kaiming uniform2024.0672.5
LoRAModel=LLaMA-3 + ViT2024.0672
QLoRAModel=InternLM2 + ViT, Quantization=4-bit2024.0670.8
LLaVA-1.5-7BBackbone=LLaVA-1.5-7B, Retained Tokens=5762026.0664.7
SparseVLMBackbone=LLaVA-1.5-7B, Retained Tokens=1282026.0664.3
DARTBackbone=LLaVA-1.5-7B, Retained Tokens=1282026.0663.1
CDPrunerBackbone=LLaVA-1.5-7B, Retained Tokens=1282026.0663
SPAREBackbone=LLaVA-1.5-7B, Retained Tokens=1282026.0662.5
DARTBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0661.6
SPAREBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0661.5
CDPrunerBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0661
PruMerge+Backbone=LLaVA-1.5-7B, Retained Tokens=1282026.0660.7
SPAREBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0660.6
SparseVLMBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0660.2
CDPrunerBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0659.5
PruMerge+Backbone=LLaVA-1.5-7B, Retained Tokens=642026.0659.2
DARTBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0658.8