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