Text Classification on PubMed
89.93micro-F1LAGAMC
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| LAGAMCTrainable Parameters (M)=22.692025.06 | 89.93 | 80.81 | |
| T5-LargeTrainable Parameters (M)=22.682025.06 | 89.9 | 79.35 | |
| T5-BaseTrainable Parameters (M)=22.322025.06 | 89.87 | 78.56 | |
| ReneeTrainable Parameters (M)=822025.06 | 89.74 | 78.12 | |
| DeepXMLTrainable Parameters (M)=1612025.06 | 88.41 | 75.96 | |
| DEXATrainable Parameters (M)=1342025.06 | 87.25 | 74.22 | |
| SiameseXMLTrainable Parameters (M)=1152025.06 | 86.42 | 72.98 | |
| GalaXCTrainable Parameters (M)=412025.06 | 85.91 | 71.34 | |
| XLNetTrainable Parameters (M)=1102025.06 | 85.33 | 70.81 | |
| ROBERTaTrainable Parameters (M)=1252025.06 | 85.19 | 70.54 | |
| BERTTrainable Parameters (M)=1102025.06 | 85.05 | 70.99 | |
| AttentionXMLTrainable Parameters (M)=1122025.06 | 84.39 | 69.11 | |
| TextRNNTrainable Parameters (M)=3.862025.06 | 83.11 | 67.72 | |
| AttentiveConvNetTrainable Parameters (M)=3.912025.06 | 82.65 | 66.33 | |
| TextCNNTrainable Parameters (M)=3.882025.06 | 82.62 | 66.4 | |
| StarTransformerTrainable Parameters (M)=3.842025.06 | 82.35 | 67.35 | |
| DoMIXFinetune=DoMIX2025.07 | 73.61 | — | |
| KDFinetune=Full2025.07 | 73.04 | — | |
| DASFinetune=Full2025.07 | 72.99 | — | |
| KDFinetune=LoRA2025.07 | 72.97 | — | |
| EWCFinetune=Full2025.07 | 72.96 | — | |
| NCLFinetune=Full2025.07 | 72.89 | — | |
| NCLFinetune=LoRA2025.07 | 72.63 | — | |
| Seperate LoRAFinetune=Full2025.07 | 72.52 | — | |
| Seperate LoRAFinetune=LoRA2025.07 | 72.5 | — | |
| Joint LoRAFinetune=Full2025.07 | 72.48 | — | |
| ROBERTaFinetune=LoRA2025.07 | 72.4 | — | |
| EWCFinetune=LoRA2025.07 | 72.27 | — | |
| DASFinetune=LoRA2025.07 | 72.27 | — | |
| ROBERTaFinetune=Full2025.07 | 72.2 | — | |
| Joint LoRAFinetune=LoRA2025.07 | 72.15 | — | |
| NTR-FLloss_function=negative-tolerant regularization FL2021.09 | 63.15 | 38.85 | |
| CB-NTRloss_function=class balanced FL with negative regularization2021.09 | 63.02 | 39.95 | |
| DBloss_function=distribution balanced loss2021.09 | 62.39 | 40.48 | |
| CB-NTRloss_function=class balanced FL with negative regularization2021.09 | 61.07 | 18.4 | |
| DB-0FLloss_function=distribution balance with no FL2021.09 | 60.99 | 34.92 | |
| NTR-FLloss_function=negative-tolerant regularization FL2021.09 | 60.92 | 16.99 | |
| SVMmodel_type=one-vs-rest SVM2021.09 | 60.77 | 34.33 | |
| CBloss_function=class balanced focal loss2021.09 | 60.75 | 33.4 | |
| DBloss_function=distribution balanced loss2021.09 | 60.63 | 19.19 | |
| FLloss_function=focal loss2021.09 | 60.43 | 33.69 | |
| R-FLloss_function=rebalanced focal loss2021.09 | 59.85 | 34.09 | |
| DB-0FLloss_function=distribution balance with no FL2021.09 | 58.95 | 15.15 | |
| CBloss_function=class balanced focal loss2021.09 | 58.57 | 13.67 | |
| SVMmodel_type=one-vs-rest SVM2021.09 | 58.54 | 13.31 | |
| FLloss_function=focal loss2021.09 | 58.3 | 13.94 | |
| R-FLloss_function=rebalanced focal loss2021.09 | 57.9 | 14.66 | |
| ChatGPT2025.06 | 42.65 | 26.33 | |
| BCEloss_function=binary cross entropy2021.09 | 27.61 | 0.06 | |
| BCEloss_function=binary cross entropy2021.09 | 26.17 | 0.02 |