| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Out-of-Domain Reasoning Aggregation | OOD Average | Accuracy63.57 | 22 | |
| Speech Emotion Recognition | Four OOD (test) | Macro-F1 Delta1.57 | 21 | |
| Image Classification | OOD 6 tasks (test) | Accuracy83.7 | 20 | |
| Speculative decoding evaluation | OOD Mean | Speedup5.21 | 20 | |
| Out-of-Distribution Detection | OOD datasets | pAUROC@2094.2 | 17 | |
| Unsupervised Object Segmentation | OOD 1.0 (test) | FG-ARI7,824 | 16 | |
| Agentic Model Routing | OOD n=176 (test) | Average Performance (%)75.89 | 14 | |
| LLM Routing | OOD | Accuracy89 | 11 | |
| Abdominal Aortic Aneurysm Segmentation | OOD n = 26 (test) | DSC93.7 | 10 | |
| Uncertainty Estimation | OOD Average across 8 domains | AUROC68.73 | 10 | |
| OOD Detection | OOD | AUC (Confidence)0.822 | 9 | |
| Mathematical and Scientific Reasoning | OOD AIME, HMMT, GPQA, MMLU-Pro, MMLU-Redux 2.0 | Pass@189.5 | 8 | |
| Language Modeling | OOD | Loss1.285 | 7 | |
| Model Retrieval | OOD datasets (test) | Average Target Accuracy55.6 | 6 | |
| Text-to-SQL generation | OOD | Overall Match Accuracy40 | 6 | |
| Diffusion-generated time series detection | Avg. OOD Aggregate of TSDiff, Diffusion-TS, WaveStitch (summary) | F1 Score84.8 | 6 | |
| Detoxification | OOD | TP Score54 | 6 | |
| Classification | OOD | Accuracy65.71 | 6 | |
| Speculative Decoding | OOD | Block Efficiency2.13 | 5 | |
| Defective Dialog Detection | OOD Shopping n = 105 (test) | Precision48 | 5 | |
| Unsupervised image annotation | OOD set | NMI0.54 | 5 | |
| Referential Communication | OOD set | Accuracy92.7 | 5 | |
| Response Quality Evaluation | OOD out-of-domain (150 samples) | Count102 | 4 | |
| Safe Robot Navigation | OOD Case II: high obstacle density (30 obstacles) | SR44.2 | 4 | |
| Image Denoising | OOD Average | PSNR39.94 | 4 |