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SOTA2 Research · benchmarks
Compare state-of-the-art methods across the tasks and datasets used to measure AI progress.
| Task | Dataset | Domain | Trend | Results | Last Update |
|---|---|---|---|---|---|
| Image Classification | CIFAR-10 Dir(0.5) (test) | 36 | Jun 23, 2026 | ||
| OOD Detection | OpenOOD CIFAR10 Near-OOD | 36 | May 27, 2026 | ||
| LLM-as-a-Judge | RewardBench 1.0 (test) | 36 | Feb 26, 2026 | ||
| LLM-as-a-Judge Evaluation Consistency | RewardBench | 36 | Feb 26, 2026 | ||
| Medical Knowledge Evaluation |
| MMedbench English subset (val) |
| 36 |
| Feb 26, 2026 |
| Mathematical Reasoning | SVAMP (val) | 36 | Feb 26, 2026 |
|---|
| General Reasoning | Big-Bench Hard (BBH) (val) | 36 | Feb 26, 2026 |
|---|
| Node Classification | CoraFull 5-way 3-shot (test) | 36 | May 26, 2026 |
|---|
| Natural Language Understanding | ARC Easy | 36 | May 21, 2026 |
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| Language Modeling | Book3 | 36 | Feb 26, 2026 |
|---|
| Single Image Super-Resolution | Set14 x2 (test) | 36 | May 19, 2026 |
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| Disease diagnosis | ODIR 21 (test) | 36 | Feb 26, 2026 |
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| Disease diagnosis | CXR 20 (test) | 36 | Feb 26, 2026 |
|---|
| Image Clustering | ImageNet-1K | 36 | May 14, 2026 |
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| Image Classification | PathMNIST v1 (test) | 36 | Feb 26, 2026 |
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| Image Classification | CIFAR-100 | 36 | Feb 26, 2026 |
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| 3D Image Classification | MedMNIST 3D v2 (test) | 36 | Mar 5, 2026 |
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| Machine-generated text detection | Grover (test) | 36 | Feb 26, 2026 |
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| Industrial Image Anomaly Detection | BTAD (test) | 36 | Feb 26, 2026 |
|---|
| Question Answering | SciQ (test) | 36 | Jul 3, 2026 |
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| Open-domain Question Answering | WebQuestions (test) | 36 | Feb 26, 2026 |
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| Image Super-Resolution | RealLR200 | 36 | Jun 30, 2026 |
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| Backdoor Re-activation Attack | CIFAR-10 (test) | 36 | Feb 26, 2026 |
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| Traveling Salesperson Problem | TSP n=100 (train) | 36 | Jun 11, 2026 |
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| Point Cloud Filtering | PUNet 50K Dense Laplace noise (synthetic) | 36 | May 27, 2026 |
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