Passivization on Passivization Linear Generalization
0.1Full AccuracyTf+Sup+Sup
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Tf+Sup+SupArchitecture=Transformer, Supervision=Double2025.11 | 0.1 | 27.6 | |
| TfArchitecture=Transformer2025.11 | 0 | 19.6 | |
| Tf+SupArchitecture=Transformer, Supervision=Yes2025.11 | 0 | 14.4 | |
| Tf+NdArchitecture=Stack Attention Transformer2025.11 | 0 | 38.3 | |
| Tf+Nd+NdArchitecture=Stack Attention Transformer, Stack=Double2025.11 | 0 | 28 | |
| RNNArchitecture=RNN2025.11 | 0 | 14.6 | |
| RNN+SupArchitecture=RNN, Supervision=Yes2025.11 | 0 | 10.2 | |
| RNN+Sup+RArchitecture=RNN, Supervision=Yes, Variant=R2025.11 | 0 | 7.9 | |
| RNN+NdArchitecture=Stack RNN2025.11 | 0 | 8.2 | |
| RNN+Nd+RArchitecture=Stack RNN, Variant=R2025.11 | 0 | 10.8 | |
| LSTMArchitecture=LSTM2025.11 | 0 | 4.3 | |
| LSTM+SupArchitecture=LSTM, Supervision=Yes2025.11 | 0 | 5.9 | |
| LSTM+Sup+RArchitecture=LSTM, Supervision=Yes, Variant=R2025.11 | 0 | 6.2 | |
| LSTM+NdArchitecture=Stack LSTM2025.11 | 0 | 4.2 | |
| LSTM+Nd+RArchitecture=Stack LSTM, Variant=R2025.11 | 0 | 4.8 |