20NG
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Topic Modeling | 20NG | NPMI0.24 | 33 | |
| Text Classification | 20NG | Accuracy89.5 | 20 | |
| Text Classification | 20ng (test) | Accuracy (Test)89.5 | 18 | |
| Class Incremental Learning | 20NG | Average Backward Transfer (BWT)29.77 | 13 | |
| Class Incremental Learning | 20NG (test) | Accuracy97.06 | 13 | |
| Topic Modeling | 20NG | IRBO99.6 | 13 | |
| Document Clustering | 20NG (test) | NMI0.437 | 13 | |
| Multi-class Calibration | 20NG (test) | NLL1.4 | 8 | |
| Document Clustering | 20NG | Top-Purity47.7 | 6 | |
| Out-of-Distribution Detection | 20NG (ID) vs IMDB (OOD) | AUROC99.78 | 4 | |
| Clustering | 20NG | ARI0.845 | 4 | |
| Clustering | 20NG-C | k-Means Loss951.96 | 2 | |
| Clustering | 20NG-B | K-Means Loss481.72 | 2 | |
| Clustering | 20NG-A | k-Means Loss193.46 | 2 |
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