Machine-Generated Text Detection on SQuAD In-Domain (IND-MGT)
93.15AccuracyDEER
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DEERBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 93.15 | 93.2 | |
| RobertaBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 92.4 | 92.74 | |
| EAGLEBackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 92.08 | 92.39 | |
| MGT-PrismBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 91.81 | 92.57 | |
| PeCoLABackbone=RoBERTa-base, Detection Methodology Category=Model-based methods2025.11 | 91.67 | 91.65 | |
| MSCLBackbone=RoBERTa-base, Detection Methodology Category=Domain generalization methods2025.11 | 91.6 | 91.86 | |
| GhostbusterDetection Methodology Category=Model-based methods2025.11 | 89.99 | 89.89 | |
| TACITDetection Methodology Category=Domain generalization methods2025.11 | 86.4 | 87.09 | |
| MoSEsDetection Methodology Category=Model-based methods2025.11 | 86.3 | 86.16 | |
| BinocularsBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 79.65 | 79.29 | |
| Fast-DetectGPTBackbone=GPT-2 Small (124M), Detection Methodology Category=Metric-based methods2025.11 | 75.65 | 76.27 | |
| ImBDDetection Methodology Category=Model-based methods2025.11 | 74.87 | 79.65 |