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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 |
|---|---|---|---|---|---|
| Jailbreak Defense | ActorAttack | 34 | Apr 3, 2026 | ||
| Time Series Classification | UEA 18 datasets 70% Missing | 34 | Apr 3, 2026 | ||
| Aspect-level Sentiment Analysis | COTE BD | 34 | Apr 2, 2026 | ||
| Optimization modeling | OptiBench | 34 | Jun 25, 2026 | ||
| Image Classification | ImageNet 1k (val) | 34 | Apr 1, 2026 | ||
| Attribution |
| WildDeepfake |
| 34 |
| May 13, 2026 |
| Binary classification | UNSW-NB15 | 34 | Jun 17, 2026 |
|---|
| Coverage Path Planning | 1,000 instances (test) | 34 | Mar 31, 2026 |
|---|
| Micro-Expression Recognition | IMER SLCV incremental learning stages (5 sessions) | 34 | Mar 31, 2026 |
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| Visual Counting | PixMoCount (test) | 34 | Jun 2, 2026 |
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| Safety Evaluation | WildChat | 34 | May 21, 2026 |
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| Video Question Answering | MLVU (dev) | 34 | May 26, 2026 |
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| Multimodal Event Forecasting | GDELT IMG-TXT | 34 | Mar 27, 2026 |
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| Referring Expression Segmentation | RefCOCO UMD partition (test A) | 34 | May 28, 2026 |
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| 3D Question Answering | SQA3D | 34 | Jun 2, 2026 |
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| Anomaly Detection | MVTec AD | 34 | Apr 23, 2026 |
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| Group Assignment | RadTimeline (test) | 34 | Mar 25, 2026 |
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| Medical Visual Question Answering | Federated Medical VQA Mixed-Modality Task 3 VQA-Med 2019-2021 SLAKE VQA-RAD (test) | 34 | Mar 24, 2026 |
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| Road segmentation | CHN6-CUG | 34 | Apr 20, 2026 |
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| Code Generation | HumanEval+ | 34 | May 28, 2026 |
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| Few-shot segmentation | ISIC | 34 | Jul 1, 2026 |
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| Question Answering | MMLU Med | 34 | Apr 29, 2026 |
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| 3D shape matching | SCAPE original (test) | 34 | Mar 20, 2026 |
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| 3D shape matching | FAUST original (test) | 34 | Mar 20, 2026 |
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| Image Classification | Caltech-256 | 34 | Mar 20, 2026 |
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