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OCR-based Visual Question Answering research benchmarks · SOTA2 Research

OCR-based Visual Question Answering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

86.51Mean Accuracy

63

Jun 8, 2026

65.6Accuracy

61

Mar 5, 2026

AI2D 2016 (test)

84.6Accuracy

21

Feb 26, 2026

61.2VQAText

14

Jun 18, 2026

InternVL2.5-MPO

880Score

13

Feb 26, 2026

OCRVQA 2019 (test)

61.4Accuracy

13

Feb 26, 2026

TextVQA 2019 (val)

83.8Accuracy

13

Feb 26, 2026

ChartQA 2022 (test)

84.6Accuracy

13

Feb 26, 2026

DocVQA 2021 (val)

93.7Accuracy

13

Feb 26, 2026

74.4Score

7

Apr 7, 2026

82.6Accuracy

4

Feb 26, 2026

OCRVQA Client 5

48.1Accuracy

3

Mar 31, 2026

OCRVQA Client 4

42.8Accuracy

3

Mar 31, 2026

OCRVQA Client 3

41.7Accuracy

3

Mar 31, 2026

OCRVQA Client 2

44.2Accuracy

3

Mar 31, 2026

OCRVQA Client 1

48.9Accuracy

3

Mar 31, 2026

Popular datasets

OCRVQA TextVQA ChartQA OCRBench DocVQA

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