Question Answering On Catbabi Lm Mode
Metrics
Accuracy (mean)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (mean) | Paper Title | Repository |
|---|---|---|---|
| AWD-LSTM | 80.15% | Learning Associative Inference Using Fast Weight Memory | - |
| Metalearned Neural Memory (plastic) | 69.3% | Learning Associative Inference Using Fast Weight Memory | - |
| Fast Weight Memory | 93.04% | Learning Associative Inference Using Fast Weight Memory | - |
| AWD-Transformer XL | 90.23% | Learning Associative Inference Using Fast Weight Memory | - |
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