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Visual Question Answering on SQA

93.5AccuracyVanilla
55.0265.017584.99Oct 10, 2024Jan 20, 2025May 2, 2025Aug 12, 2025Nov 22, 2025Mar 4, 2026Jun 15, 2026

Evaluation results

MethodLinks
VanillaSource=Qwen’25, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=0%2026.0693.5—
VanillaBackbone=Qwen3-VL-4B, Retention Ratio=100%2026.0493.42100
VisionZip w/ DSTPBackbone=Qwen3-VL-4B, Retention Ratio=33.3%2026.0492.0897.4
FastV w/ DSTPBackbone=Qwen3-VL-4B, Retention Ratio=33.3%2026.0491.8497.5
DivPrune w/ DSTPBackbone=Qwen3-VL-4B, Retention Ratio=33.3%2026.0491.3695.5
VisionZipBackbone=Qwen3-VL-4B, Retention Ratio=33.3%2026.0490.4196.5
PDrop+RerouteSource=Ours, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=66.7%2026.0689.9—
FastVBackbone=Qwen3-VL-4B, Retention Ratio=33.3%2026.0487.9894.3
VanillaSource=Qwen’25, Token Reduction=0%, Backbone=Qwen2.5-VL-7B2026.0687.8—
FastV+RerouteSource=Ours, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=66.7%2026.0687.2—
PDropSource=CVPR’25, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=66.7%2026.0686.7—
DivPruneBackbone=Qwen3-VL-4B, Retention Ratio=33.3%2026.0486.1291.2
PDropSource=CVPR’25, Token Reduction=66.7%, Backbone=Qwen2.5-VL-7B2026.0685—
PDrop+RerouteSource=Ours, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=77.8%2026.0684.9—
PDrop+RerouteSource=Ours, Token Reduction=66.7%, Backbone=Qwen2.5-VL-7B2026.0684.8—
FastVSource=ECCV’24, Token Reduction=66.7%, Backbone=Qwen2.5-VL-7B2026.0682.8—
FastVSource=ECCV’24, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=66.7%2026.0682.8—
FastV+RerouteSource=Ours, Token Reduction=66.7%, Backbone=Qwen2.5-VL-7B2026.0682.5—
PDropSource=CVPR’25, Token Reduction=77.8%, Backbone=Qwen2.5-VL-7B2026.0682—
FastV+RerouteSource=Ours, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=77.8%2026.0682—
PDrop+RerouteSource=Ours, Token Reduction=77.8%, Backbone=Qwen2.5-VL-7B2026.0681.2—
PDrop+RerouteSource=Ours, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=88.9%2026.0680.8—
PDropSource=CVPR’25, Token Reduction=88.9%, Backbone=Qwen2.5-VL-7B2026.0679.4—
PDropSource=CVPR’25, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=77.8%2026.0679.3—
FastV+RerouteSource=Ours, Token Reduction=77.8%, Backbone=Qwen2.5-VL-7B2026.0678.8—
FastV+RerouteSource=Ours, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=88.9%2026.0678.5—
FastVSource=ECCV’24, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=77.8%2026.0678.3—
PDrop+RerouteSource=Ours, Token Reduction=88.9%, Backbone=Qwen2.5-VL-7B2026.0677.2—
FastVSource=ECCV’24, Token Reduction=77.8%, Backbone=Qwen2.5-VL-7B2026.0677.1—
VISOR-TRFLOPs Savings=18×2026.0375.4—
VISORFLOPs Savings=8.6×2026.0375.3—
PDropSource=CVPR’25, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=88.9%2026.0675.3—
M³FLOPs Savings=8.0×2026.0375.1—
FastV+RerouteSource=Ours, Token Reduction=88.9%, Backbone=Qwen2.5-VL-7B2026.0674.1—
FastVSource=ECCV’24, Token Reduction=88.9%, Backbone=Qwen2.5-VL-7B2026.0673.2—
FastVSource=ECCV’24, Backbone=Qwen3.5-9B-Hybrid, Average Gated Attention Token Reduction=88.9%2026.0673.1—
BitDeltaα=1/16, Model Architecture=LLAVA-V1.5-13B2025.0673—
Alignedα=1, Model Architecture=LLAVA-V1.5-13B2025.0672.8—
Delta-CoMeα=1/16, Model Architecture=LLAVA-V1.5-13B2025.0672.3—
Q-VLMModel=LLaVA-13B, Bitwidth=W6A62024.1072.27—
PRINMIXα=1/16, Model Architecture=LLAVA-V1.5-13B2025.0672.1—
Full Precision BaselineModel=LLaVA-13B, Bitwidth=FP2024.1071.61—
QLoRAModel=LLaVA-13B, Bitwidth=W6A62024.1071.52—
Low-Rankα=1/16, Model Architecture=LLAVA-V1.5-13B2025.0671.4—
AWQModel=LLaVA-13B, Bitwidth=W6A62024.1071.37—
FEATHERVisual Token Budget=1922026.0270.5101.3
VanillaVisual Token Budget=5762026.0269.6100
VanillaBackbone=LLaVA-1.5-7B, Retained Tokens=5762026.0669.5—
HoloVBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0669.5—
DCP-PruneBackbone=LLaVA-1.5-7B, Retained Tokens=162026.0669.3—
FlowCutBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0669.1—
SwiftVLMVisual Token Budget=1922026.026999.1
VisionZipBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0669—
Q-VLMModel=LLaVA-13B, Bitwidth=W4A42024.1068.84—
VisionZipBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0668.8—
HoloVBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0668.8—
SCOPEBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0668.6—
DCP-PruneBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0668.6—
SwiftVLMVisual Token Budget=1282026.0268.598.4
SCOPEBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0668.4—
DCP-PruneBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0668.3—
FlowCutBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0668.3—
SCOPEBackbone=LLaVA-1.5-7B, Retained Tokens=162026.0668.2—
AWQModel=LLaVA-13B, Bitwidth=W4A42024.1068.13—
HoloVBackbone=LLaVA-1.5-7B, Retained Tokens=162026.0668.1—
QLoRAModel=LLaVA-13B, Bitwidth=W4A42024.1068.04—
PRUNESIDBackbone=LLaVA-1.5-7B, Retained Tokens=642026.0667.8—
PRUNESIDBackbone=LLaVA-1.5-7B, Retained Tokens=322026.0667.8—
VisionZipBackbone=LLaVA-1.5-7B, Retained Tokens=162026.0667.8—
DownsampleFLOPs Savings=4.0×2026.0367.4—
PRUNESIDBackbone=LLaVA-1.5-7B, Retained Tokens=162026.0667.3—
LLaVA-OVFLOPs Savings=1.0×2026.0367.2—
FlowCutBackbone=LLaVA-1.5-7B, Retained Tokens=162026.0667.2—
VisionZipFLOPs Savings=5.7×2026.0367—
Full Precision BaselineModel=LLaVA-7B, Bitwidth=FP2024.1066.79—
SparseVLMFLOPs Savings=4.5×2026.0366.7—
PyramidDropFLOPs Savings=4.2×2026.0366.7—
Q-VLMModel=LLaVA-7B, Bitwidth=W6A62024.1066.67—
HiREDFLOPs Savings=5.0×2026.0366.3—
QLoRAModel=LLaVA-7B, Bitwidth=W6A62024.1066.16—
AWQModel=LLaVA-7B, Bitwidth=W6A62024.1065.87—
VisionZip†FLOPs Savings=5.7×2026.0365.8—
VisPrunerFLOPs Savings=5.7×2026.0365.7—
Q-VLMModel=LLaVA-7B, Bitwidth=W4A42024.1057.7—
AWQModel=LLaVA-7B, Bitwidth=W4A42024.1056.73—
QLoRAModel=LLaVA-7B, Bitwidth=W4A42024.1056.5—