Byte-level Text Classification on LRA Text (test)
89.4AccuracyLRU
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LRUArchitecture category=RNN-based architectures2025.07 | 89.4 | 0.005 | 4.3 | |
| MRConv-LArchitecture category=Convolution-based architectures2025.07 | 89.4 | — | 3.82 | |
| S5Architecture category=RNN-based architectures, Bi-directional input processing=true2025.07 | 89.3 | 0.005 | 4.3 | |
| SGConvArchitecture category=Convolution-based architectures2025.07 | 89.2 | — | 3.82 | |
| Liquid-S4Architecture category=RNN-based architectures2025.07 | 89 | 0.6406 | 15.6 | |
| HGRNArchitecture category=RNN-based architectures, Bi-directional input processing=true, Positional encoding=true2025.07 | 88.1 | 0.0034 | 3.9 | |
| mGRADEArchitecture category=Our implementation2025.07 | 87.3 | 0.1719 | 5.9 | |
| S4-LegSArchitecture category=RNN-based architectures, Bi-directional input processing=true2025.07 | 86.8 | 0.005 | 769.5 | |
| LRUArchitecture category=Our implementation2025.07 | 85.9 | 0.1797 | 0.8 | |
| DSSSOFTMAXArchitecture category=RNN-based architectures2025.07 | 84.8 | 0.5938 | 62.5 | |
| MambaArchitecture category=RNN-based architectures2025.07 | 83 | — | — | |
| S4Architecture category=RNN-based architectures2025.07 | 76 | 0.7188 | 62.5 |