Question Answering On Codah
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
---|---|---|---|
BERT Large | 69.6 | CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense | |
G-DAUG-Combo + RoBERTa-Large | 84.0 | Generative Data Augmentation for Commonsense Reasoning |
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