Text Classification on SemEval
87.81Micro-F1LAGAMC
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LAGAMCTrainable Parameters (M)=22.692025.06 | 87.81 | 78.06 | — | |
| T5-LargeTrainable Parameters (M)=22.682025.06 | 84.35 | 72.23 | — | |
| T5-BaseTrainable Parameters (M)=22.322025.06 | 83.12 | 70.13 | — | |
| ReneeTrainable Parameters (M)=822025.06 | 71.18 | 58.43 | — | |
| BERTTrainable Parameters (M)=1102025.06 | 70.7 | 56.3 | — | |
| DeepXMLTrainable Parameters (M)=1612025.06 | 68.76 | 55.98 | — | |
| DEXATrainable Parameters (M)=1342025.06 | 66.57 | 54.32 | — | |
| SiameseXMLTrainable Parameters (M)=1152025.06 | 65.42 | 52.84 | — | |
| GalaXCTrainable Parameters (M)=412025.06 | 62.34 | 50.79 | — | |
| AttentionXMLTrainable Parameters (M)=1122025.06 | 61.55 | 48.32 | — | |
| ROBERTaTrainable Parameters (M)=1252025.06 | 59.82 | 40.55 | — | |
| XLNetTrainable Parameters (M)=1102025.06 | 58.01 | 35.31 | — | |
| TextCNNTrainable Parameters (M)=3.882025.06 | 54.55 | 39.51 | — | |
| TextRNNTrainable Parameters (M)=3.862025.06 | 52.42 | 37.94 | — | |
| AttentiveConvNetTrainable Parameters (M)=3.912025.06 | 51.61 | 37.21 | — | |
| StarTransformerTrainable Parameters (M)=3.842025.06 | 51.42 | 38.96 | — | |
| ChatGPT2025.06 | 41.61 | 27.21 | — | |
| ALPSannotation budget=20%2026.02 | — | — | 38.94 | |
| BADGEannotation budget=20%2026.02 | — | — | 39.53 | |
| CALannotation budget=20%2026.02 | — | — | 40.58 | |
| CoreSet (k-center)annotation budget=20%2026.02 | — | — | 36.42 | |
| Disagreement (Vote Entropy)annotation budget=20%2026.02 | — | — | 36.87 | |
| Entropy Samplingannotation budget=20%2026.02 | — | — | 37.46 | |
| GCPannotation budget=20%2026.02 | — | — | 42.96 | |
| Least Confidenceannotation budget=20%2026.02 | — | — | 35.18 | |
| Randomannotation budget=20%2026.02 | — | — | 30.33 |