MN
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Mutation Killing | MN (Killable) | rho_k4.4 | 48 | |
| Mutation Killing | MN (Non-Killable) | Rho K31.7 | 24 | |
| 3D Point Cloud Classification | MN40 | Accuracy93.07 | 21 | |
| Model Calibration | MN | MAE5.413 | 20 | |
| MN staging classification | MN staging dataset | Accuracy72.69 | 17 | |
| Single-Cell Gene Regulatory Network Inference | mN tomato | AUPRC8.458 | 10 | |
| Model Calibration | MN 0.3 | MAE4.515 | 10 | |
| Gene Regulatory Network Inference | mN | p-value0.01 | 5 | |
| Backdoor Attack | MN (test) | Runtime (s)0.42 | 4 | |
| Machine Reading Comprehension | Mn Mongolian | ROUGE-L10.2 | 4 | |
| Text Summarization | Mn Mongolian | ROUGE-L13.5 | 4 |
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