Knowledge Base Question Answering On
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | Accuracy |
---|---|
improving-multi-hop-knowledge-base-question | 53.9 |
case-based-reasoning-for-natural-language | 44.1 |
chatkbqa-a-generate-then-retrieve-framework | 76.8 |
case-based-reasoning-for-natural-language | 45.9 |
paths-over-graph-knowledge-graph-enpowered | - |
case-based-reasoning-for-natural-language | 70.4 |