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Video Question Answering on Video-MME without subtitles

75.4Accuracy (Overall)GOPAgen
6.458424.356742.25560.1533Mar 27, 2025Jun 7, 2025Aug 18, 2025Oct 29, 2025Jan 9, 2026Mar 22, 2026Jun 3, 2026

Evaluation results

MethodLinks
GOPAgenModel Category=Agentic video understanding framework2026.0675.484.575.166.7
Gemini-1.5-ProModel Category=Closed-Source Models2026.067581.774.367.4
AdaReTaKeModel Category=Open-Source Models2026.0673.580.674.965
Qwen2.5-VL-72BZero-shot=true2026.0173.3———
Qwen2.5-VL-72BModel Category=Open-Source Models2026.0673.3———
LFS + Qwen3-VL-8BZero-shot=true2026.0172.6———
VideoLucyModel Category=Agentic video understanding framework2026.0672.578.672.166.8
InternVL2.5-72BModel Category=Open-Source Models2026.0672.182.870.962.6
GPT-4oModel Category=Closed-Source Models2026.0671.98070.365.3
Qwen3-VL-8BZero-shot=true2026.0171.4———
Gemini 2.5 Flash + ReFoCUSLLM Size=Closed, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0669.579.368.360.8
Qwen3-VL-4BZero-shot=true2026.0169.3———
Qwen3-VL + ReFoCUSLLM Size=8B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0668.579.66758.9
InternVL3 + ReFoCUSLLM Size=8B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.066775.866.858.3
InternVL3.5 + ReFoCUSLLM Size=8B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0666.776.264.958.9
Qwen3-VL + ReFoCUSLLM Size=4B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0666.476.765.757
Gemini 2.5 FlashLLM Size=Closed, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.066677.663.756.8
InternVL3.5 + ReFoCUSLLM Size=4B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0665.97862.357.4
Gemini2.5-Flash-LiteZero-shot=true2026.0165———
Qwen3-VLLLM Size=8B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.066575.164.655.3
InternVL3.5LLM Size=8B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0664.477.462.453.2
InternVL3LLM Size=8B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0664.375.164.453.4
Logic-in-FramesModel Category=Agentic video understanding framework2026.066371.961.955.2
InternVL3.5LLM Size=4B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0662.776.460.351.3
LLaVA-OneVision + ReFoCUSLLM Size=7B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0662.672.861.753.4
EvoGround2026.0562.3———
VideoLLaMA 3 + ReFoCUSLLM Size=7B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0662.272.260.154.3
Qwen3-VLLLM Size=4B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0662.174.16151.3
Qwen2.5-VL-7Breproduced=true2026.0561.4———
Time-R1reproduced=true2026.0561.2———
LongVULLM Size=7B, Training Free=false2025.0360.964.758.259.5
GPT-4o + ReFoCUSLLM Size=Closed, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0660.868.260.154
InternVL3 + ReFoCUSLLM Size=2B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0660.772.260.249.7
LLaVA-OneVision 32 frames + BOLTLLM Size=7B, Training Free=true, Frames=322025.0359.970.16049.6
LiveVLMFrames=0.5/0.2 fps2025.0559.6—5751.3
LLaVA-OneVision-7B + StreamMemFrames=0.5/0.2 fps2025.0559.4—56.650.1
mPLUG-Owl3Model Category=Open-Source Models2026.0659.37057.750.1
VideoLLaMA 3LLM Size=7B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.065970.457.748.9
GPT-4oLLM Size=Closed, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0658.8685553.3
LLaVA-OneVision 32 framesLLM Size=7B, Training Free=false, Frames=322025.0358.570.356.648.8
InternVL3LLM Size=2B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0658.47156.447.8
LLaVA-OneVisionLLM Size=7B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0658.470.955.748.8
LLaVA-OneVision-7B + ReKVFrames=0.5/0.2 fps2025.0558.3—55.648.6
LLaVA-OneVision 16 frames + BOLTLLM Size=7B, Training Free=true, Frames=162025.0357.869.256.847.3
Frame-VoyagerLLM Size=8B, Training Free=false2025.0357.567.356.348.9
LLaVA-OneVision 16 framesLLM Size=7B, Training Free=false, Frames=162025.0356.968.35448.2
LLaVA-OneVision-7BFrames=322025.0556.9—54.746.2
Dispider-7BFrames=1 fps†2025.0556.5—53.749.7
LLaVA-OneVision 8 frames + BOLTLLM Size=7B, Training Free=true, Frames=82025.0356.166.854.247.3
Kangaroo-8BFrames=642025.0556—55.346.6
VideoXL-7BFrames=1282025.0555.5—53.249.2
LLaVA-OneVision 8 framesLLM Size=7B, Training Free=false, Frames=82025.0353.863.65245.7
InternVL3 + ReFoCUSLLM Size=1B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0653.666.451.842.6
LongVA-7BFrames=1282025.0552.6—50.446.2
InternVL3LLM Size=1B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.065063.146.939.9
GPT5-NanoZero-shot=true2026.0149.4———
VideoLLaMA2LLM Size=7B, Training Free=false2025.0347.95645.442.1
LLaVA-OneVision + ReFoCUSLLM Size=0.5B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0647.158.344.638.3
VideoLLaMA 3 + ReFoCUSLLM Size=2B, Sampling Strategy=ReFoCUS, Frame Budget=32-frame2025.0647.158.944.138.3
LLaVA-OneVisionLLM Size=0.5B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0643.553.739.937
VideoLLaMA 3LLM Size=2B, Sampling Strategy=Uniform sampling, Frame Budget=32-frame2025.0643.155.238.835.2
Chat-UniVi-V1.5LLM Size=7B, Training Free=false2025.0340.645.740.335.8
LLaVA-OneVisionSize=7B, Protocol=cloze format2026.0440.1———
Video-LLaVALLM Size=7B, Training Free=false2025.0339.945.33836.2
ShareGPT4VideoLLM Size=8B, Training Free=false2025.0339.948.336.335
VideoChat2LLM Size=7B, Training Free=false2025.0339.548.33733.2
MovieChat-7BFrames=20482025.0538.2——33.4
ROMAevaluation_protocol=spoken questions, K=12026.0134.56———
ROMAevaluation_protocol=spoken questions2026.0133.3———
ROMAevaluation_protocol=spoken questions, wpos=22026.0133.2———
ROMAevaluation_protocol=spoken questions, wpos=42026.0133.1———
ROMAevaluation_protocol=spoken questions, ablation=Mixed Training2026.0133———
Video-LLaVASize=7B, Protocol=cloze format2026.0430.6———
ABMambaSize=3.6B, Protocol=cloze format2026.0429.4———
VITA-1.5evaluation_protocol=spoken questions2026.0128.56———
Video-ChatGPTSize=7B, Protocol=cloze format2026.0428———
InternVL2.5Size=2.2B, Protocol=cloze format2026.0427.6———
VideoLLaMA3Size=2B, Protocol=cloze format2026.0427.2———
Qwen2.5-Omnievaluation_protocol=spoken questions2026.0120.5———
MiniCPM-oevaluation_protocol=spoken questions2026.0119.37———
ROMAevaluation_protocol=spoken questions, ablation=without speak head2026.019.11———
Deep Video DiscoveryModel Category=Agentic video understanding framework2026.06———67.3
Gemini-2.0-FlashModel Category=Closed-Source Models2026.06———63
MR. VideoModel Category=Agentic video understanding framework2026.06———61.8
OpenAI o3Model Category=Closed-Source Models2026.06———63.2
VideoTreeModel Category=Agentic video understanding framework2026.06———54.2