Question Answering On Hybridqa
Métriques
ANS-EM
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | ANS-EM | Paper Title | Repository |
---|---|---|---|
DocHopper | 46.3 | Iterative Hierarchical Attention for Answering Complex Questions over Long Documents | - |
MATE Ponter | 62.7 | MATE: Multi-view Attention for Table Transformer Efficiency | |
HYBRIDER | 43.8 | HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data | |
MAFiD | 65.4 | MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data |
0 of 4 row(s) selected.