Riddle Sense On Riddle Sense
Métriques
Accuracy (%)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| RoBERTa large | 60.7 | - | - |
| DRAGON | 71.3 | Deep Bidirectional Language-Knowledge Graph Pretraining | |
| QAGNN | 67 | QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering |
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