| fine-grained-image-classification-on-cub-200-2011 | IELT | – | Accuracy: 91.8 |
| fracture-detection-on-grazpedwri-dx | YOLOv5s | – | Fracture Sensitivity: 91.00 |
| fracture-detection-on-grazpedwri-dx | YOLOv6s | – | Fracture Sensitivity: 89.00 |
| graph-classification-on-proteins | Eff.resistance graph kernel | – | Accuracy: 65.7% ± 4.2% |
| image-classification-on-imagenet | HMAX | – | Top 1 Accuracy: 38.3% |
| low-light-image-enhancement-on-lol | rr | – | BSQ-rate over MS-SSIM: 0.2 |
| multimodal-emotion-recognition-on-iemocap-4 | bc-LSTM | – | Weighted F1: 74.1 |
| question-answering-on-multitq | TimeR4 | – | Hits@1: 72.8 |
| question-answering-on-newsqa | OpenAI/o1-2024-12-17-high | – | EM: 81.44F1: 88.72 |
| robot-manipulation-generalization-on-the-colosseum | RVT | – | Average decrease average across all perturbations: -14.5 |
| text-to-3d-on-t-3-bench | ProlificDreamer | – | Avg: 43.3 |
| unsupervised-domain-adaptation-on-office-home | DisClusterDA | – | Average Accuracy: 71.4 |