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Visual Question Answering research benchmarks – Page 27 · SOTA2 Research

Visual Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

82.14Simple Accuracy

9

Feb 27, 2026

91.09Presence

9

Feb 27, 2026

InfoHaystack-200

Qwen2-VL-f.t. + V-RAG

67.74Accuracy

9

Feb 26, 2026

InfoHaystack-100

Qwen2-VL-f.t. + V-RAG

67.1Accuracy

9

Feb 26, 2026

DocHaystack 200

Qwen2-VL-f.t. + V-RAG

79.82Accuracy

9

Feb 26, 2026

DocHaystack 100

Qwen2-VL-f.t. + V-RAG

0.862Accuracy

9

Feb 26, 2026

Personalized Visual Question Answering 1.0 (test)

GPT-4V + Prompt

93.6Accuracy

9

Feb 26, 2026

36.6Accuracy

9

Feb 27, 2026

23.2Accuracy

9

Feb 27, 2026

MiniGPT-v2 (7B)-chat

51.5Top-1 Accuracy

9

Feb 26, 2026

77.8Exact Match (EM)

9

Mar 23, 2026

76.1Accuracy

9

Feb 26, 2026

0.312Accuracy

9

Feb 26, 2026

38.75Accuracy

9

Feb 26, 2026

54.81Accuracy

9

Feb 26, 2026

PlotQA V1 (test)

96.38Accuracy

9

Feb 26, 2026

FigureQA (val2)

98.09Accuracy

9

Feb 26, 2026

FigureQA (val1)

98.1Accuracy

9

Feb 26, 2026

GQA 2019 (test)

91.2Binary Accuracy

9

Feb 26, 2026

79.5Accuracy (How Many)

9

Feb 26, 2026

64.3Accuracy

8

Jul 7, 2026

iNaturalist (test)

46.6Accuracy

8

Jul 7, 2026

69.41Accuracy

8

Jun 30, 2026

V*Bench (REKEY renewal)

79.9Accuracy

8

Jun 23, 2026

V*Bench Relabel

75.9Accuracy

8

Jun 23, 2026

Page 27 of 46

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