| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| LLM Function Activation Dataset v1 (test) | IterD | Accuracy82.36 | 144 | 1mo ago | |
| CIFAR-10 modified (test) | Accuracy90.7 | 22 | 1mo ago | ||
| Movie Tagging CiM Device-2 noise | TONEL (w/ TL) | Accuracy51.16 | 8 | 1mo ago | |
| Education Unconstrained | DCE | F1 Score44.9 | 4 | 9d ago | |
| BraTS 2019 | Multi-Scale Reward Learning | Accuracy71 | 4 | 1mo ago | |
| Writing Unconstrained | VTS + dedup | F1 Score22.1 | 3 | 9d ago | |
| Writing Category-controlled top-K | DCE | F1 Score14.2 | 3 | 9d ago | |
| Education Category-controlled top-K | F1 Score83.8 | 3 | 9d ago | ||
| Packaging Unconstrained | DCE | F1 Score30.5 | 3 | 9d ago | |
| Packaging Category-controlled top-K | DCE | F1 Score19.3 | 3 | 9d ago |
