Machine-Generated Text Detection on WP Domain Generalization (DG-MGT)
93.35AccuracyDEER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DEERBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 93.35 | 94.39 | |
| MGT-PrismBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 88.58 | 89.48 | |
| PeCoLABackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 87.87 | 87.69 | |
| TACITDetection Methodology Category=Domain generalization methods2025.11 | 87.22 | 88.22 | |
| ImBDDetection Methodology Category=Model-based methods2025.11 | 84.37 | 86.52 | |
| MoSEsDetection Methodology Category=Model-based methods2025.11 | 83.06 | 82.14 | |
| EAGLEBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 82.84 | 85.3 | |
| BinocularsBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 82.83 | 81.68 | |
| MSCLBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 82.46 | 84.58 | |
| RobertaBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 80.64 | 83.68 | |
| GhostbusterDetection Methodology Category=Model-based methods2025.11 | 80.28 | 79.53 | |
| Fast-DetectGPTBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 62.62 | 62.15 |