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Fake News Detection On Grover Mega
Metrics
Unpaired Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Text-Transformers + Five-fold five model cross-validation +Pseudo Label Algorithm | 98.5% | Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English | |
| Grover-Mega | 92.0% | Defending Against Neural Fake News | |
| Grover-Large | 80.8% | Defending Against Neural Fake News | |
| BERT-Large | 73.1% | Defending Against Neural Fake News | |
| GPT2 (355M) | 70.1% | Defending Against Neural Fake News |
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