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Papers Benchmarks Datasets Tasks

Paraphrase Identification research benchmarks – Page 2 · SOTA2 Research

Paraphrase Identification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

QQP, PAWS, and PIT In-distribution (test)

92AUROC (QQP->QQP)

10

Feb 26, 2026

PAWS -> WMT (test)

0.849AUROC

10

Feb 26, 2026

PIT -> WMT (test)

0.85AUROC

10

Feb 26, 2026

QQP -> WMT (test)

85.1AUROC

10

Feb 26, 2026

PIT -> QQP (test)

73Macro F1

10

Feb 26, 2026

PIT -> PIT (test)

81Macro F1

10

Feb 26, 2026

84.7Accuracy (de)

7

Feb 27, 2026

Rus et al. (2008)

70.6Accuracy

7

Feb 26, 2026

63.99AUROC

5

Jun 5, 2026

70.88Accuracy (Clean)

5

Apr 28, 2026

76Accuracy

5

Feb 26, 2026

Paraphrase tasks P

20.44ARG (NP -> P)

5

Feb 26, 2026

PAWS-X French (test)

90.14Accuracy

5

Feb 26, 2026

87.73F1 Score

5

Feb 26, 2026

83.03Accuracy

5

Feb 26, 2026

22.69Latency (ms)

4

May 12, 2026

55.5Accuracy (en)

2

Feb 27, 2026

78.7Max F1 Score

2

Feb 26, 2026

0.755F1 Score

2

Feb 26, 2026

88.9F1 Score

2

Feb 26, 2026

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Popular datasets

PAWS-X QQP PAWS PIT MRPC

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