AGNews
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Text Classification | AGNews | Accuracy94.4 | 161 | |
| Text Classification | AgNews | Accuracy95 | 119 | |
| Text Classification | AGNEWS | Clean Accuracy95.2 | 118 | |
| Backdoor Defense | AgNews | Attack Success Rate2.03 | 105 | |
| Topic Classification | AGNews | ASR0 | 78 | |
| Topic Classification | AGNEWS | FA Score87.3 | 65 | |
| Text Classification | AGNews | Accuracy (ACC)94.12 | 63 | |
| Text Classification | AGNews synthetic noise (test) | Accuracy94.05 | 50 | |
| Text Classification | AGNews | Macro-F188.86 | 49 | |
| Text Anomaly Detection | AGNews | AUPRC93.52 | 49 | |
| Text Classification | AGNews | Accuracy95.68 | 43 | |
| Privacy Auditing | Agnews | Empirical Privacy Lower Bound (ε_emp)0 | 40 | |
| Text Classification | AGNews | Accuracy93.6 | 38 | |
| Short Text Clustering | AgNews | ACC88.2 | 38 | |
| General classification | AGNews (test) | Macro F190.16 | 37 | |
| Text Classification | AGNEWS | Accuracy92.9 | 34 | |
| Label Correction | AGNews | Error Rate6.78 | 30 | |
| Topic Classification | AGNews | Macro-F188.07 | 30 | |
| Text Classification | AGNews (val) | Top-1 Acc93.8 | 30 | |
| Text Classification | AGNews 4 classes symmetric noise e=0.4 (test) | Accuracy91.63 | 24 | |
| Domain mixture recovery | AGNews 4 cls. | MSE0.002 | 22 | |
| Text Classification | AGNews | Performance Score94 | 22 | |
| Annotator Modeling | agnews | AUROC93.1 | 18 | |
| Active Testing | AGNews | Estimation Error AUC0.0015 | 18 | |
| Topic Classification | AGNEWS | Accuracy (Acc)91.3 | 18 |
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