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SOTA Machine Reading Comprehension benchmarks and papers with code | Wizwand
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Machine Reading Comprehension
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
RACE (test)
Human Performance (Ceiling)
RACE Accuracy (Medium)
95.4
111
3d ago
SQuAD
Expanded Vocab
EM
89.9
58
3d ago
SQuAD 2.0 (dev)
Retro-Reader
EM
88.8
57
3d ago
SQuAD 2.0 (test)
Retro-Reader
EM
89.6
51
3d ago
Molweni (test)
Human performance
EM
64.3
49
3d ago
SQuAD 1.1 (dev)
Ours
EM
89.71
48
3d ago
SQuAD 1.1 (test)
XLNet
EM
89.898
46
3d ago
Daily Mail (test)
GA Reader
Accuracy
80.9
46
3d ago
DRCD (test)
MacBERT-large
EM
91.7
45
3d ago
DRCD (dev)
LERT
EM
91.6
45
3d ago
RACE
Human Ceiling Performance
RACE Overall Accuracy
94.5
38
3d ago
Daily Mail (val)
GA Reader
Accuracy
81.5
36
3d ago
CMRC 2018 (dev)
PERT
EM
72.2
34
3d ago
CMRC Simplified Chinese 2018 (Challenge)
PERT
EM
32.3
30
3d ago
CMRC Simplified Chinese 2018 (test)
PERT
EM
76.8
27
3d ago
DREAM (test)
ALBERTxxlarge + DUMA + MTL
Accuracy
91.8
23
3d ago
DREAM (dev)
POI-Net
Accuracy
90
21
3d ago
CMRC 2018 (test)
ChineseBERT
EM
78.05
21
3d ago
CMRC Simplified Chinese 2018 (dev)
PERT
EM
72.2
18
3d ago
Belebele Target language
FFT
MRC Score
49.2
16
3d ago
Belebele Source language en
AdaLoRA
MRC Score
89.8
16
3d ago
CJRC (test)
ChineseBERT
EM
67
15
3d ago
CJRC (dev)
ChineseBERT
EM
66.5
15
3d ago
BELEBELE Indonesian
CLO
Accuracy (Target Language)
67.1
13
3d ago
RACE Full (test)
BiAttention (MRU) Ensemble
Accuracy
53.3
13
3d ago
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