Machine-Generated Text Detection on Sci In-Domain (IND-MGT)
92.9AccuracyDEER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DEERBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 92.9 | 93.28 | |
| MSCLBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 92.71 | 92.74 | |
| PeCoLABackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 92.21 | 92.48 | |
| MGT-PrismBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 91.93 | 92.06 | |
| GhostbusterDetection Methodology Category=Model-based methods2025.11 | 91.77 | 91.76 | |
| RobertaBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 91.53 | 91.93 | |
| MoSEsDetection Methodology Category=Model-based methods2025.11 | 91.17 | 91.22 | |
| EAGLEBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 90.47 | 91.17 | |
| ImBDDetection Methodology Category=Model-based methods2025.11 | 89.71 | 89.06 | |
| TACITDetection Methodology Category=Domain generalization methods2025.11 | 88.36 | 88.79 | |
| BinocularsBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 83.75 | 82.43 | |
| Fast-DetectGPTBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 73.91 | 74.77 |