Xiaomi-TabLDM: A Tabular Large Data Foundation Model For Classification and Regression via In-Context Learning English This repository is the official implementation of Xiaomi-TabLDM. Tabular foundation models establish a general prediction paradigm based on in-context learning. Given labeled samples from a downstream dataset as context, a single pretrained model can make predictions directly without task-specific training. Building on this paradigm, we introduce Xiaomi-TabLDM, a tabular large data foundation model for classification and regression via in-context learning, which delivers superior prediction accuracy without requiring task-specific fine-tuning. Pretrained exclusively on…
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Xinzhenwei
occams
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