Binary AIGT Classification on RedNote-Vibe
88.7PrecisionPLAD-CatBoost
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PLAD-CatBoostClassifier=CatBoost2025.09 | 88.7 | 87.28 | 89.62 | |
| LLM-Idiosyncrasies2025.09 | 88.09 | 90.15 | 89.07 | |
| RoBERTaFine-tuned=true2025.09 | 87.85 | 88.88 | 89.52 | |
| PLAD-XGBoostClassifier=XGBoost2025.09 | 86.45 | 85.31 | 87.79 | |
| BERTFine-tuned=true2025.09 | 85.91 | 88.29 | 88.24 | |
| ALBERTFine-tuned=true2025.09 | 83.59 | 79.63 | 84.58 | |
| Sniffer2025.09 | 82.55 | 81.3 | 84.45 | |
| POGER2025.09 | 79.17 | 82.03 | 84.89 | |
| Ullah et al.2025.09 | 75.91 | 73.83 | 78.59 | |
| StyloAI2025.09 | 75.23 | 72.55 | 77.9 | |
| Binoculars2025.09 | 72.07 | 74.17 | 77.89 |