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{
"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 "
]
}

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b9b89562a1095808c975604a59a0271313ed1ade3d03ccadac22c8bc45a24a34

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