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TC-Next outperforms traditional cyclone tracking methods by integrating multimodal data, achieving unprecedented accuracy in both track and intensity forecasts.
SAGE boosts worst-group accuracy by up to 7.7 percentage points, tackling the pervasive issue of spurious correlations in machine learning without relying on prior group labels.
