LIAR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Reasoning Quality Correlation Analysis | LIAR | Somers' D0.2769 | 45 | |
| Veracity Prediction | LIAR RAW | Macro Precision47 | 24 | |
| Fact Verification | LIAR | F1 Score68.6 | 24 | |
| Multi-Classification | LIAR Open | Accuracy46.81 | 23 | |
| Binary Classification | LIAR Closed | Accuracy79.15 | 23 | |
| Multi-Classification | LIAR Closed | Accuracy26.99 | 22 | |
| Binary Classification | LIAR Open | Accuracy84.21 | 22 | |
| Fake News Detection | LIAR (test) | Accuracy65.2 | 21 | |
| Fact-checking | LIAR-RAW | Precision77.38 | 20 | |
| Fake News Detection | LIAR (val) | Accuracy27.7 | 13 | |
| Fact-checking | LIAR | Accuracy79 | 12 | |
| Claim Verification | LIAR (test) | Precision46.8 | 12 | |
| Veracity Explanation Ranking | LIAR RAW | Informativeness (MAR)2.09 | 12 | |
| Veracity Prediction | LIAR-RAW (test) | Precision43.83 | 12 | |
| Fact-Checking | LIAR (test) | Accuracy68.2 | 11 | |
| Explanation Generation | LIAR-RAW (test) | ROU-125.5 | 11 | |
| Node classification | LIAR (test) | Fidelity100 | 8 | |
| Explainable Fake News Detection | LIAR RAW | Misleadingness1.85 | 7 | |
| Topic Modeling | LIAR labeled holdout (test) | AUPC64.1 | 7 | |
| Explanation Generation | LIAR | Politeness97.3 | 4 | |
| Text Anomaly Detection | Liar2 | AUPRC0.2937 | 3 | |
| Binary classification | LIAR (test) | Accuracy67.73 | 3 |
Showing 22 of 22 rows