Question Answering On Cronquestions
Metrics
Hits@1
Results
Performance results of various models on this benchmark
Model Name | Hits@1 | Paper Title | Repository |
|---|---|---|---|
| TMA | 78.4 | Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering | - |
| ChatGPT w/o tkg | 15.1 | - | - |
| T-EaE-replace | 28.8 | - | - |
| BERT | 24.3 | TempoQR: Temporal Question Reasoning over Knowledge Graphs | |
| EmbedKGQA | 28.8 | - | - |
| ChatGPT w/ tkg | 75.4 | - | - |
| EntityQR | 74.5 | TempoQR: Temporal Question Reasoning over Knowledge Graphs | |
| SERQA-soft | 81.1 | - | - |
| BERT w/o tkg | 7.1 | - | - |
| QC-MHM | 97.1 | Question Calibration and Multi-Hop Modeling for Temporal Question Answering | - |
| KnowBERT | 22.6 | - | - |
| Prog-TQA | 93.7 | Self-Improvement Programming for Temporal Knowledge Graph Question Answering | - |
| TSQA | 83.1 | Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs | - |
| CTRN | 92 | - | - |
| GenTKGQA | 97.8 | Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models | - |
| M3TQA | 96.9 | - | - |
| RoBERTa w/o tkg | 7 | - | - |
| CTRN-soft | 80.6 | - | - |
| TempoQR-Hard | 91.8 | TempoQR: Temporal Question Reasoning over Knowledge Graphs | |
| CTRN-hard | 92 | - | - |
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