Output OOD Detection on Reddit
100AUROCAP-OOD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AP-OODBackbone=PEGASUS_LARGE, ID Dataset=XSUM2026.02 | 100 | 0 | |
| Binary logitsBackbone=PEGASUS_LARGE, ID Dataset=XSUM2026.02 | 99.99 | 0 | |
| Deep SADBackbone=PEGASUS_LARGE, ID Dataset=XSUM2026.02 | 99.99 | 0.01 | |
| Relative MahalanobisBackbone=PEGASUS_LARGE, ID Dataset=XSUM2026.02 | 99.82 | 0.03 | |
| AP-OODBackbone=PEGASUS-LARGE, ID Dataset=XSUM, Evaluation Protocol=Output OOD2026.02 | 0.9872 | 0.0318 | |
| Deep SVDDBackbone=PEGASUS-LARGE, ID Dataset=XSUM, Evaluation Protocol=Output OOD2026.02 | 0.9758 | 0.0931 | |
| MahalanobisBackbone=PEGASUS-LARGE, ID Dataset=XSUM, Evaluation Protocol=Output OOD2026.02 | 0.9713 | 0.1227 | |
| KNNBackbone=PEGASUS-LARGE, ID Dataset=XSUM, Evaluation Protocol=Output OOD2026.02 | 0.9582 | 0.1728 | |
| EntropyBackbone=PEGASUS-LARGE, ID Dataset=XSUM, Evaluation Protocol=Output OOD2026.02 | 0.9342 | 0.3045 | |
| PerplexityBackbone=PEGASUS-LARGE, ID Dataset=XSUM, Evaluation Protocol=Output OOD2026.02 | 0.8259 | 0.4825 |