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Visual Question Answering research benchmarks – Page 43 · SOTA2 Research

Visual Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

General Bench MMMU, RealWorldQA, BLINK, MMT

SafeGuard-VL-RL

45.33MMMU Score

3

Mar 4, 2026

CLEVR-CoGenT systematic generalization 1.0 (test)

77.3Accuracy

3

Feb 27, 2026

Medical-Diff-VQA prediction questions original (test)

0.095BLEU-4

3

Feb 26, 2026

Medical-Diff-VQA difference questions original (test)

0.375BLEU-4

3

Feb 26, 2026

64.92RAD (Y/N | C)

3

Feb 26, 2026

VQA-CP v2 (test)

72.87Y/N Accuracy (C)

3

Feb 26, 2026

Multi-Concept Personalized VLM Benchmark

GPT-4V + Prompt

69.8VQA Accuracy

3

Feb 26, 2026

MC-LLaVA (test)

0.482METEOR

3

Feb 26, 2026

Wearable Text-VQA 1.0 (test)

74VQA Acc.

3

Feb 26, 2026

76.77Pass@1

3

Feb 26, 2026

43Volume Score

3

Feb 26, 2026

64.93Accuracy (Mix)

3

Feb 26, 2026

COCOVQA zero-shot 2015

29.03Acc (Open)

3

Feb 26, 2026

26.2Avg Accuracy (1-2)

3

Feb 26, 2026

30Avg Accuracy (1-2 ICL)

3

Feb 26, 2026

82Accuracy

3

Feb 27, 2026

84Accuracy

3

Feb 27, 2026

0.71CIDEr

3

Feb 26, 2026

60.85Accuracy

3

Feb 27, 2026

37.77Percentage Woman

3

Feb 26, 2026

90% VQAv2 + 10% VizWiz (test)

10.61AUC

3

Feb 26, 2026

VQAv2 (50%) + VizWiz (50%) (test val mixed)

25.53AUC

3

Feb 26, 2026

86Exact Match

3

Feb 26, 2026

FigureQA Original color scheme (val)

94.84Accuracy

3

Feb 26, 2026

VizWiz 2022 (test-std)

60.15Accuracy

3

Feb 26, 2026

Page 43 of 46

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