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{
"dataset": "Traffic",
"model_name": "GLinear",
"model_links": [],
"paper_title": "Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction",
"paper_url": "https://arxiv.org/abs/2501.01087v3",
"metrics": {
"MSE ": "0.3222"
},
"table_metrics": {
"MSE ": "0.3222"
},
"prompts": [
"Given the following paper and codebase:\nPaper: Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction\nCodebase: Repository not available\n\nImprove the GLinear model on the Traffic dataset. The result should improve on the following metrics: {'MSE ': '0.3222'}. You must use only the codebase provided."
]
}

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