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{
"dataset": "Tiny ImageNet Classification",
"model_name": "MANO-tiny",
"model_links": [],
"paper_title": "Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics",
"paper_url": "https://arxiv.org/abs/2507.02748",
"metrics": {
"Validation Acc": "87.52"
},
"table_metrics": {
"Validation Acc": "87.52"
},
"prompts": [
"Given the following paper and codebase:\nPaper: Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics\nCodebase: Repository not available\n\nImprove the MANO-tiny model on the Tiny ImageNet Classification dataset. The result should improve on the following metrics: {'Validation Acc': '87.52'}. You must use only the codebase provided."
]
}

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768 Bytes
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69e6889f85012e520c778eb6d2d0ae06d0df0ed0aacf990f7b6c5e0528ce3726

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