Text Classification on Reuters
96.48Micro-F1LAGAMC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LAGAMCTrainable Parameters (M)=22.692025.06 | 96.48 | 80.85 | |
| T5-LargeTrainable Parameters (M)=22.682025.06 | 91.12 | 71.32 | |
| T5-BaseTrainable Parameters (M)=22.322025.06 | 90.89 | 69.23 | |
| ReneeTrainable Parameters (M)=822025.06 | 90.29 | 66.21 | |
| VLAWE2019.02 | 89.3 | — | |
| XLNetTrainable Parameters (M)=1102025.06 | 88.54 | 51.99 | |
| DeepXMLTrainable Parameters (M)=1612025.06 | 88.52 | 53.79 | |
| ROBERTaTrainable Parameters (M)=1252025.06 | 88.27 | 42.63 | |
| BERTTrainable Parameters (M)=1102025.06 | 87.73 | 34.98 | |
| BOSWE2019.02 | 87.2 | — | |
| TF + FA + CP + SVM2019.02 | 87 | — | |
| BOWbaseline=true2019.02 | 86.5 | — | |
| DEXATrainable Parameters (M)=1342025.06 | 86.07 | 51.12 | |
| Average of word embeddingsbaseline=true2019.02 | 85.3 | — | |
| SiameseXMLTrainable Parameters (M)=1152025.06 | 84.22 | 48.99 | |
| TextCNNTrainable Parameters (M)=3.882025.06 | 81.89 | 33.96 | |
| TextRNNTrainable Parameters (M)=3.862025.06 | 81.72 | 33.26 | |
| GalaXCTrainable Parameters (M)=412025.06 | 81.23 | 46.39 | |
| StarTransformerTrainable Parameters (M)=3.842025.06 | 80.22 | 36.39 | |
| AttentiveConvNetTrainable Parameters (M)=3.912025.06 | 79.77 | 31.86 | |
| AttentionXMLTrainable Parameters (M)=1122025.06 | 78.43 | 43.57 | |
| ChatGPT2025.06 | 69.77 | 35.86 |