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From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification
While Large Language Models (LLMs) possess rich world knowledge and impressive generalization capabilities, their direct application to tabular data classification is hindered by high inference costs and limited interpretability. In contrast, decision trees are fast and transparent but often underpe
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