SC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Narrative Understanding | SC | First-Token Accuracy98.7 | 24 | |
| Scientific Claims | SC | R Score87.3 | 10 | |
| Sentence Classification | SC | MNLI Accuracy90.53 | 9 | |
| Set Covering | SC Large Scale | Gap Improvement400 | 8 | |
| Set Covering | SC Medium Scale | Gap Improvement200 | 8 | |
| Regression | SC | Average Training Time (s)2.92 | 6 | |
| Speech Classification | SC10 Raw (test) | Accuracy98.32 | 6 | |
| Unconditional generation of event sequences | SC synthetic (test) | MMD5.8 | 5 | |
| Temporal Point Process Generation | SC (test) | MMD5.8 | 5 | |
| Adversarial NSFW Image Generation | SC (test) | ASR-2570 | 5 | |
| Density Estimation | SC (test) | MMD0.08 | 5 | |
| Density estimation | SC Synthetic (test) | Wasserstein Distance0 | 5 | |
| Speech Classification | SC10 Raw 0.5x (test) | Accuracy96.3 | 5 | |
| Sarcasm Detection | SC GEN v2 | F1 Score75 | 5 | |
| Sarcasm Detection | SC v1 | F1 Score69 | 5 | |
| Description-based speech generation | SC (test) | JointCLAP0.43 | 4 | |
| Sarcasm Classification | SC GEN v2 | Score75 | 4 | |
| Sarcasm Classification | SC GEN v1 | Score69 | 4 | |
| Keyword Spotting | SC10 (test) | Accuracy98.53 | 4 |
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