Machine-Generated Text Detection on CMV Domain Generalization (DG-MGT)
92.13AccuracyDEER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DEERBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 92.13 | 92.63 | |
| MGT-PrismBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 89.08 | 88.14 | |
| PeCoLABackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 88.83 | 88.68 | |
| ImBDDetection Methodology Category=Model-based methods2025.11 | 88.65 | 89.78 | |
| BinocularsBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 86.92 | 86.61 | |
| MoSEsDetection Methodology Category=Model-based methods2025.11 | 86.9 | 86.61 | |
| TACITDetection Methodology Category=Domain generalization methods2025.11 | 84.88 | 86.62 | |
| MSCLBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 81.56 | 84.3 | |
| RobertaBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 79.32 | 83.12 | |
| EAGLEBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 78.54 | 82.13 | |
| GhostbusterDetection Methodology Category=Model-based methods2025.11 | 74.13 | 73.25 | |
| Fast-DetectGPTBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 73.27 | 75 |