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Video Understanding on MLVU (test)

100.3AverageFSR
15.64437.62259.681.578Dec 12, 2025Dec 21, 2025Dec 30, 2025Jan 8, 2026Jan 17, 2026Jan 26, 2026Feb 5, 2026

Evaluation results

MethodLinks
FSRReduction Ratio=50%, Frames=322026.02100.30.502—————————
LLaVA-Video-7B-qwen2Reduction Ratio=100%, Frames=322026.021000.501—————————
FSRReduction Ratio=60%, Frames=322026.0299.60.5—————————
HoloVReduction Ratio=50%, Frames=322026.0299.20.491—————————
FSRReduction Ratio=70%, Frames=322026.0298.90.476—————————
HoloVReduction Ratio=60%, Frames=322026.0298.50.491—————————
HoloVReduction Ratio=70%, Frames=322026.0298.20.485—————————
FSRReduction Ratio=80%, Frames=322026.0298.20.465—————————
HoloVReduction Ratio=80%, Frames=322026.02980.465—————————
InternVL3 + HFSLLM size=8B+1.5B, # Frames=162025.1250——————————
InternVL3LLM size=8B, # Frames=162025.1246——————————
InternVL2LLM Size=76B, Vision Encoder=InternViT-6B, Training Regime=Training-Based2026.0245.7—85.751.348.347.25244.432.91534.9
Video-LLaMA2LLM Size=72B, Vision Encoder=CLIP-L, Training Regime=Training-Based2026.0245.6—80.253.836.754.75438.942.916.732.6
VideoLLaMA2LLM size=7B, # Frames=82025.1245.6——————————
Qwen2.5-VL + HFSLLM size=7B+1.5B, # Frames=162025.1245.6——————————
Video-XLLLM size=7B, # Frames=1282025.1245.5——————————
KTV-34B-denseLLM Size=34B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0245—85.751.348.747.24858.335.71037.2
KTV-34B-sparseLLM Size=34B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0244.8—81.351.353.347.25052.837.111.734.9
KTV-34B-normalLLM Size=34B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0244.2—81.356.446.745.34652.832.98.341.9
VILA-1.5LLM size=40B, # Frames=142025.1244.2——————————
SF-LLaVA-34BLLM Size=34B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0243.6—76.943.636.739.64447.227.18.332.6
Video-CCAMLLM size=14B, # Frames=962025.1242.9——————————
Qwen2.5-VLLLM size=7B, # Frames=162025.1241.8——————————
LongVALLM size=7B, # Frames=128/2562025.1241.1——————————
KTV-7B-denseLLM Size=7B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0236.9—69.248.933.339.63438.927.123.327.9
KTV-7B-sparseLLM Size=7B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0236.5—73.643.63541.53436.127.118.320.9
KTV-7B-normalLLM Size=7B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0236.1—72.551.33541.53438.924.321.725.6
ShareGPT4VideoLLM size=8B, # Frames=162025.1233.8——————————
IG-VLM-34BLLM Size=34B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0233.3—68.135.921.730.13450206.720.1
SF-LLaVA-7BLLM Size=7B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0232.7—68.123.125342433.322.916.716.3
IG-VLM-7BLLM Size=7B, Vision Encoder=CLIP-L, Training Regime=Training-Free2026.0232.1—74.733.326.718.92433.317.11527.9
Video-LLaVALLM Size=7B, Vision Encoder=CLIP-L, Training Regime=Training-Based2026.0230.7—70.338.513.326.42638.92021.720.9
Video-LLaVALLM size=7B, # Frames=82025.1230.7——————————
Video-LLaMA2LLM Size=13B, Vision Encoder=CLIP-L, Training Regime=Training-Based2026.0218.9—52.712.813.3171219.415.78.318.6
FastV (ECCV2024)Token Retention Ratio=75%, Backbone=Qwen2.5-VL, Input Frames=322025.12—0.415—————————
FastV (ECCV2024)Token Retention Ratio=50%, Backbone=Qwen2.5-VL, Input Frames=322025.12—0.368—————————
FastV (ECCV2024)Token Retention Ratio=25%, Backbone=Qwen2.5-VL, Input Frames=322025.12—0.34—————————
FastV (ECCV2024)Token Retention Ratio=15%, Backbone=Qwen2.5-VL, Input Frames=322025.12—0.328—————————
FastV (ECCV2024)Token Retention Ratio=10%, Backbone=Qwen2.5-VL, Input Frames=322025.12—0.246—————————
FastV (ECCV2024) + DyToK (7B)Token Retention Ratio=75%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B2025.12—0.454—————————
FastV (ECCV2024) + DyToK (7B)Token Retention Ratio=50%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B2025.12—0.441—————————
FastV (ECCV2024) + DyToK (7B)Token Retention Ratio=25%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B2025.12—0.433—————————
FastV (ECCV2024) + DyToK (7B)Token Retention Ratio=15%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B2025.12—0.398—————————
FastV (ECCV2024) + DyToK (7B)Token Retention Ratio=10%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B2025.12—0.246—————————
Vanilla (TMLR)Token Retention Ratio=100%, Backbone=Qwen2.5-VL, Input Frames=322025.12—0.447—————————
VisionZip†Token Retention Ratio=75%, Backbone=Qwen2.5-VL, Input Frames=32, Pooling Compatibility=true2025.12—0.446—————————
VisionZip†Token Retention Ratio=50%, Backbone=Qwen2.5-VL, Input Frames=32, Pooling Compatibility=true2025.12—0.45—————————
VisionZip†Token Retention Ratio=25%, Backbone=Qwen2.5-VL, Input Frames=32, Pooling Compatibility=true2025.12—0.443—————————
VisionZip†Token Retention Ratio=15%, Backbone=Qwen2.5-VL, Input Frames=32, Pooling Compatibility=true2025.12—0.416—————————
VisionZip†Token Retention Ratio=10%, Backbone=Qwen2.5-VL, Input Frames=32, Pooling Compatibility=true2025.12—0.417—————————
VisionZip† + DyToK (7B)Token Retention Ratio=75%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B, Pooling Compatibility=true2025.12—0.431—————————
VisionZip† + DyToK (7B)Token Retention Ratio=50%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B, Pooling Compatibility=true2025.12—0.438—————————
VisionZip† + DyToK (7B)Token Retention Ratio=25%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B, Pooling Compatibility=true2025.12—0.445—————————
VisionZip† + DyToK (7B)Token Retention Ratio=15%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B, Pooling Compatibility=true2025.12—0.425—————————
VisionZip† + DyToK (7B)Token Retention Ratio=10%, Backbone=Qwen2.5-VL, Input Frames=32, Model Scale=7B, Pooling Compatibility=true2025.12—0.436—————————