Passivization on Passivization (test)
100Full AccuracyTf+Nd+Nd
Evaluation Results
| Method | Links | |
|---|---|---|
| Tf+Nd+NdArchitecture=Stack Attention Transformer, Stack=Double2025.11 | 100 | |
| T5Large pre-trained model=true2025.11 | 100 | |
| mT5Large pre-trained model=true2025.11 | 100 | |
| mBARTLarge pre-trained model=true, Overtrained=true2025.11 | 100 | |
| TfTraining=Language Modeling Objective2025.11 | 100 | |
| TfArchitecture=Transformer2025.11 | 99.9 | |
| Tf+SupArchitecture=Transformer, Supervision=Yes2025.11 | 99.8 | |
| Tf+Sup+SupArchitecture=Transformer, Supervision=Double2025.11 | 99.8 | |
| Tf+NdArchitecture=Stack Attention Transformer2025.11 | 98.8 | |
| BARTLarge pre-trained model=true2025.11 | 95 | |
| RNNArchitecture=RNN2025.11 | 92.6 | |
| RNN+SupArchitecture=RNN, Supervision=Yes2025.11 | 84.8 | |
| RNN+NdArchitecture=Stack RNN2025.11 | 74.7 | |
| RNN+Nd+RArchitecture=Stack RNN, Variant=R2025.11 | 66.9 | |
| RNN+Sup+RArchitecture=RNN, Supervision=Yes, Variant=R2025.11 | 53.7 | |
| LSTM+Nd+RArchitecture=Stack LSTM, Variant=R2025.11 | 20.9 | |
| LSTM+Sup+RArchitecture=LSTM, Supervision=Yes, Variant=R2025.11 | 1.1 | |
| LSTM+SupArchitecture=LSTM, Supervision=Yes2025.11 | 0.9 | |
| LSTMArchitecture=LSTM2025.11 | 0.7 | |
| LSTM+NdArchitecture=Stack LSTM2025.11 | 0.4 |