Question Answering On Drop
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| large-language-models-can-self-improve | 78.2 |
| large-language-models-can-self-improve | 83 |
| large-language-models-can-self-improve | 71.7 |
| large-language-models-can-self-improve | 60 |
| large-language-models-can-self-improve | 70.6 |
| large-language-models-can-self-improve | 76.2 |