Text Classification on CAVES
92.46Micro-F1LAGAMC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LAGAMCTrainable Parameters (M)=22.692025.06 | 92.46 | 89.11 | |
| T5-LargeTrainable Parameters (M)=22.682025.06 | 88.33 | 81.89 | |
| T5-BaseTrainable Parameters (M)=22.322025.06 | 86.84 | 71.22 | |
| ReneeTrainable Parameters (M)=822025.06 | 79.46 | 67.93 | |
| DeepXMLTrainable Parameters (M)=1612025.06 | 77.53 | 65.84 | |
| DEXATrainable Parameters (M)=1342025.06 | 74.81 | 62.35 | |
| SiameseXMLTrainable Parameters (M)=1152025.06 | 72.16 | 59.89 | |
| XLNetTrainable Parameters (M)=1102025.06 | 71.61 | 63.83 | |
| ROBERTaTrainable Parameters (M)=1252025.06 | 71.34 | 63.82 | |
| BERTTrainable Parameters (M)=1102025.06 | 70.36 | 65.29 | |
| GalaXCTrainable Parameters (M)=412025.06 | 69.84 | 56.12 | |
| AttentionXMLTrainable Parameters (M)=1122025.06 | 62.12 | 52.83 | |
| TextRNNTrainable Parameters (M)=3.862025.06 | 57.7 | 42.17 | |
| ChatGPT2025.06 | 57.22 | 44.47 | |
| TextCNNTrainable Parameters (M)=3.882025.06 | 55.48 | 39.64 | |
| AttentiveConvNetTrainable Parameters (M)=3.912025.06 | 54.22 | 38.15 | |
| StarTransformerTrainable Parameters (M)=3.842025.06 | 53.86 | 35.98 |