Tag: Tabular Data
All the articles with the tag "Tabular Data".
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Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
The paper introduces 'Latte', a framework that transfers latent-level knowledge from Large Language Models during training to enhance few-shot tabular learning, outperforming baselines by leveraging unlabeled data and mitigating overfitting across diverse classification and regression tasks.