Buckets:
| { | |
| "dataset": "Food-101", | |
| "model_name": "MANO-tiny", | |
| "paper_title": "Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics", | |
| "paper_url": "https://arxiv.org/abs/2507.02748", | |
| "code_links": [], | |
| "metrics": { | |
| "Accuracy (%)": "82.48" | |
| }, | |
| "table_metrics": { | |
| "Accuracy (%)": "82.48" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\n Paper: Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics\n Codebase: https://github.com/AlexColagrande/MANO\n\n Improve the MANO-tiny model on the Food-101 dataset. The result\n should improve on the following metrics: {'Accuracy (%)': '82.48'}. You must use only the codebase provided.\n " | |
| ] | |
| } |
Xet Storage Details
- Size:
- 758 Bytes
- Xet hash:
- b9b89562a1095808c975604a59a0271313ed1ade3d03ccadac22c8bc45a24a34
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