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Video Question Answering on STAR (test)

79.1Interaction ScoreIPRM
16.689632.892349.09565.2977Apr 18, 2023Oct 24, 2023Apr 30, 2024Nov 5, 2024May 13, 2025Nov 18, 2025May 27, 2026

Evaluation results

MethodLinks
IPRMSetup=GT V2024.1179.185.88271.4—79.6—————
IPRMSetup=PR V2024.117278.171.559.4—70.3—————
BLIP-2 + OursNumber of Frames=4, Text Augmentation=without2026.0567.872.561.456.8———————
BLIP-2 + OursNumber of Frames=4, Text Augmentation=with2026.0566.271.658.755.3———————
BLIP-2Number of Frames=4, Text Augmentation=without2026.0565.46959.754.2———————
InternVideo + OursNumber of Frames=8, Text Augmentation=without2026.0563.867.758.955.2———————
InternVideoNumber of Frames=8, Text Augmentation=without2026.0562.765.654.951.9———————
InternVideo + OursNumber of Frames=8, Text Augmentation=with2026.0561.864.957.454.3———————
BLIP-2Number of Frames=4, Text Augmentation=with2026.0560.966.354.350.1———————
mPLUGSetup=-2024.1160.465.657.549.6—58.3—————
GLOBAL2026.0159.3657.5257.2146.68—52.85—————
VideoChat2Vision Encoder=UMT-L, LLM Size=7B, Inference Vision=multiple, Inference LLM=single, Video Trained=true2024.0358.460.955.353.1—59—————
GF(sup)Supervision Type=supervised2024.0156.161.2752.6545.74—53.94—————
GFSetup=-2024.1156.161.352.745.7—53.9—————
InternVideoNumber of Frames=8, Text Augmentation=with2026.0555.66150.347.2———————
MISTBackbone=CLIP2026.0155.5954.2354.2444.48—51.13—————
LLaVA v1.6Vision Encoder=ViT-L, LLM Size=34B, Inference Vision=single, Inference LLM=single, Video Trained=false2024.0353.453.949.548.4—53—————
MISTBackbone=AIO2026.015352.3749.5243.87—49.69—————
GF(uns)Supervision Type=unsupervised2024.0151.9163.0654.8945.57—53.86—————
IG-VLM LLaVA v1.6Vision Encoder=ViT-L, LLM Size=7B, Inference Vision=single, Inference LLM=single, Video Trained=false2024.0351.5525151.8—51.7—————
ATP2026.0150.6352.8749.3640.61—48.37—————
GPT-4VVision Encoder=Unknown, LLM Size=GPT-4, Inference Vision=single, Inference LLM=single, Video Trained=false2024.0350.652.344.946.9—50.7—————
LLaVA v1.6Vision Encoder=ViT-L, LLM Size=7B, Inference Vision=single, Inference LLM=single, Video Trained=false2024.0349.350.148.448.8—49.6—————
SevillaVision Encoder=ViT-L, LLM Size=2.85B, Inference Vision=multiple, Inference LLM=multiple, Video Trained=true2024.0348.34544.440.8—44.6—————
All-in-One + OursNumber of Frames=32, Text Augmentation=without2026.0548.351.949.645.7———————
SHG-VQASetup=-2024.11484235.332.5—39.5—————
SHG-VQABackbone=SlowR50-K400 + ResNext101-K400, Obj.=false, Hyper.=true2023.0447.9842.0335.3432.5239.47——————
All-in-One + OursNumber of Frames=32, Text Augmentation=with2026.0547.951.348.744.3———————
AIO2026.0147.5350.8147.7544.08—47.54—————
All-in-OneNumber of Frames=32, Text Augmentation=without2026.0547.550.847.744———————
SHG-VQABackbone=ResNext101-ImageNet1K, Obj.=false, Hyper.=true2023.0445.842.7734.6429.9138.28——————
RESERVE-B2024.0144.842.438.836.2—40.5—————
RESERVEVariant=B2026.0144.842.438.836.2—40.5—————
InternVideoVision Encoder=ViT-L, LLM Size=1.3B, Inference Vision=multiple, Inference LLM=single, Video Trained=true2024.0343.843.242.337.4—41.6—————
All-in-OneNumber of Frames=32, Text Augmentation=with2026.0542.948.54440.2———————
NS-SRSetup=GT V2024.1142.646.343.443.9—44.5—————
ClipBERTBackbone=ResNext101-K400, Obj.=false, Hyper.=false2023.0439.8143.5932.2431.4236.7——————
ClipBERT2024.0139.8143.5932.3431.42—36.7—————
CogAgentVision Encoder=CLIP-E, LLM Size=7B, Inference Vision=single, Inference LLM=single, Video Trained=false2024.0339.847.440.543.6—44.4—————
CLIP-BERTSetup=-2024.1139.843.632.231.4—36.7—————
CLIP2026.0139.840.535.536—38—————
HRCNBackbone=ResNext101-K400, Obj.=true, Hyper.=false2023.0439.138.1728.7527.2733.32——————
LCGNBackbone=ResNext101-K400, Obj.=false, Hyper.=false2023.0439.0137.9728.8126.9833.19——————
CLIP-BERTSetup=GT V2024.1136.338.930.729.8—36.5—————
Vis-BERTSetup=GT V2024.1134.735.931.231.4—34.7—————
Vis-BERTSetup=-2024.1133.637.23130.8—34.8—————
CNN-BERTBackbone=ResNext101-K400, Obj.=false, Hyper.=false2023.0433.5937.1630.9530.8433.14——————
CNN-LSTMBackbone=ResNext101-K400, Obj.=false, Hyper.=false2023.0433.2532.6730.6930.4331.76——————
Blind Model (BERT)Backbone=BERT, Obj.=false, Hyper.=false2023.0432.6834.2129.9829.2631.53——————
Blind Model (LSTM)Backbone=GloVe, Obj.=false, Hyper.=false2023.0432.2432.1728.5628.4130.34——————
NS-SRSetup=PR V2024.1130.931.830.229.7—30.7—————
NS-SRBackbone=ResNext101-K400, Obj.=true, Hyper.=true2023.0430.8831.7630.2329.7330.65——————
Q-type (Random)Obj.=false, Hyper.=false2023.0425.0624.9324.7924.8124.89——————
Q-type (Frequent)Obj.=false, Hyper.=false2023.0419.0919.4512.918.3117.44——————
BOLDModel=Video-LLaMA, k=0.52024.10——————37.1933.0222.2914.5514.58
BOLDModel=Video-LLaVA, k=0.52024.10——————37.2135.7618.284.974.54
BOLDModel=SeViLA, k=0.52024.10——————46.2246.14.132.262.1
CoVGT2026.01—————46.23—————
FlamingoParameters=9B2026.01—————43.4—————
Flamingo-9B2024.01—————43.4—————
HawkEyeFine-tuned=false2024.03——————56.59————
TimeChatFine-tuned=false2024.03——————37.97————
VideoChat2Fine-tuned=false2024.03——————59————
VideoChat2 (our impl.)Fine-tuned=false, Implementation=Reproduced2024.03——————55.24————
Weighted_BOLDModel=Video-LLaMA, k=0.52024.10——————37.3433.521.1314.0514.14
Weighted_BOLDModel=Video-LLaVA, k=0.52024.10——————37.5336.1817.454.914.26
Weighted_BOLDModel=SeViLA, k=0.52024.10——————46.246.084.012.22.07