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Benchmarks
Natural Language Understanding on NLU (test)
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91.3
Mpqa Accuracy
16-shot
84.644
86.372
88.1
89.828
Jun 21, 2023
Mpqa Accuracy
Trec Accuracy
Subj Accuracy
Updated 3d ago
Evaluation Results
Method
Method
Links
Mpqa Accuracy
Trec Accuracy
Subj Accuracy
16-shot
Backbone=GPT-4
2023.06
91.3
83.7
96.5
DLN-1
Backbone=GPT-4
2023.06
91.1
89.5
93.1
DLN-1
Backbone=GPT-3
2023.06
88.5
89.7
83.2
KATE
Backbone=GPT-3
2023.06
88.4
77.6
71.1
0-shot
Backbone=GPT-3
2023.06
88
61.9
61.7
5-shot
Backbone=GPT-4
2023.06
88
82.5
94.7
5-shot
Backbone=GPT-3
2023.06
87.2
80
76.4
0-shot
Backbone=GPT-4
2023.06
86.3
64.8
72.5
APE-15
Backbone=GPT-3
2023.06
85.5
71.3
61.3
APE-400
Backbone=GPT-3
2023.06
84.9
72
63.7
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