ELEPHANT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multiple Instance Learning Classification | ELEPHANT | Accuracy98.9 | 36 | |
| Language model evaluation across subsets | ELEPHANT | OEQ Validation Score93 | 18 | |
| 3D Surface Reconstruction | Elephant 25 (test) | CD (x100)0.47 | 10 | |
| Multi-instance Learning Classification | ELEPHANT classical MIL (10-fold cross-val) | Accuracy94.3 | 9 | |
| 3-D reconstruction | Elephant Reflective Object (test) | RMSE (mm)0.8059 | 5 | |
| Social Sycophancy | ELEPHANT OEQ slice Phase 12 (10-prompt sample) | Validation Sycophancy Rate30 | 4 | |
| Neural Shape Representation | Elephant | Chamfer Distance2.24 | 4 | |
| Social Sycophancy | ELEPHANT AITA-YTA slice Phase 12 (10-prompt sample) | Validation Sycophancy Rate0 | 3 | |
| 3D Mesh Reconstruction | Elephant high-genus mesh (test) | Chamfer Distance0.002 | 2 |
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