Question Answering On Codah
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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 |
0 of 2 row(s) selected.