Knowledge Base Question Answering On 4
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| SYGMA | 44.0 | SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases | - |
| GETT-QA | 76.1 | GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering | - |
| STaG-QA | 61.2 | A Two-Stage Approach towards Generalization in Knowledge Base Question Answering | - |
| SPARKLE | 79.6 | SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding | - |
| Falcon 2.0 | 36.3 | Falcon 2.0: An Entity and Relation Linking Tool over Wikidata | - |
0 of 5 row(s) selected.