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TabMosaic: Unified In-Context Diffusion for Tabular Generative Tasks
Generative modeling for tabular data has advanced to the point where models can synthesize realistic records, recover missing values, and generate samples conditioned on class labels or observed attributes. Despite recent advances, existing approaches either require table-specific training or restri
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