Text Classification on Yahoo
72.5Micro F1 ScoreS2TC-BDD-F
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| S2TC-BDD-FNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 72.5 | — | 72.2 | |
| BERT+AM-FNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 72.2 | — | 71.4 | |
| MetaExpertNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 72.2 | — | 71.8 | |
| FreeMatchNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 71.7 | — | 71.4 | |
| BERT+CENl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 71.3 | — | 70.8 | |
| S2TC-BDD-SNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 71.3 | — | 70.9 | |
| UDANl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 70.7 | — | 70.4 | |
| S2TC-BDD-FNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 70.6 | — | 70.2 | |
| BERT+AM-SNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 70.6 | — | 69.5 | |
| MetaExpertNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 70.3 | — | 69.5 | |
| VATNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 70.1 | — | 69.7 | |
| BERT+AM-FNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 69.4 | — | 68.9 | |
| FreeMatchNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 69.4 | — | 69.2 | |
| S2TC-BDD-FNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 68.8 | — | 68.4 | |
| S2TC-BDD-SNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 68.7 | — | 68 | |
| VATNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 68.5 | — | 67.5 | |
| BERT+AM-SNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 67.9 | — | 67.2 | |
| BERT+CENl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 67.6 | — | 67.1 | |
| FreeMatchNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 67.2 | — | 67.2 | |
| UDANl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 67.2 | — | 66.6 | |
| MetaExpertNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 66.7 | — | 65.5 | |
| NB+EMNl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 65.9 | — | 65.3 | |
| VAMPIRENl (Number of labeled texts)=10,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 64.4 | — | 64.4 | |
| BERT+AM-FNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 64.1 | — | 63.3 | |
| NB+EMNl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 62.4 | — | 61.6 | |
| S2TC-BDD-SNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 61.8 | — | 59.5 | |
| BERT+AM-SNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 58.9 | — | 57.3 | |
| UDANl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 57.6 | — | 56.7 | |
| BERT+CENl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 56.4 | — | 55 | |
| VAMPIRENl (Number of labeled texts)=1,000, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 54.7 | — | 54.5 | |
| VATNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 53.4 | — | 54.2 | |
| NB+EMNl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 52.9 | — | 48.9 | |
| VAMPIRENl (Number of labeled texts)=100, Max sentence length=256, Backbone=BERT-based-uncased2026.03 | 38.9 | — | 35.6 | |
| Claude2025.12 | — | 68 | — | |
| GPT-4o2025.12 | — | 74.3 | — | |
| LOCUSparam=185M2025.12 | — | 67.6 | — | |
| LOCUSminiparam=5M2025.12 | — | 67.5 | — | |
| PESCOparam=340M2025.12 | — | 71.1 | — | |
| PETparam=355M2025.12 | — | 56.4 | — | |
| WC-SBERTparam=110M2025.12 | — | 62.7 | — |