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Question Answering On Catbabi Qa Mode
Métriques
1:1 Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Fast Weight Memory | 96.75% | Learning Associative Inference Using Fast Weight Memory | |
| Metalearned Neural Memory (plastic) | 88.97% | Learning Associative Inference Using Fast Weight Memory | |
| AWD-Transformer XL | 87.66% | Learning Associative Inference Using Fast Weight Memory | |
| AWD-LSTM | 80.88% | Learning Associative Inference Using Fast Weight Memory |
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