Machine-Generated Text Detection on Yelp In-Domain (IND-MGT)
93.09AccuracyDEER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DEERBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 93.09 | 92.94 | |
| PeCoLABackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 91.81 | 91.8 | |
| EAGLEBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 91.36 | 91.64 | |
| MGT-PrismBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 91.14 | 91.16 | |
| MSCLBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 90.33 | 90.39 | |
| GhostbusterDetection Methodology Category=Model-based methods2025.11 | 89.67 | 89.63 | |
| RobertaBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 89.31 | 90.05 | |
| TACITDetection Methodology Category=Domain generalization methods2025.11 | 87.89 | 88.34 | |
| MoSEsDetection Methodology Category=Model-based methods2025.11 | 82.09 | 82.96 | |
| BinocularsBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 76.89 | 76.22 | |
| ImBDDetection Methodology Category=Model-based methods2025.11 | 74.85 | 79.82 | |
| Fast-DetectGPTBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 71.76 | 71.24 |