BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification

Yi-Siang Wang, Kuan-Yu Chen, Yu-Chen Den +1

Large language models (LLMs) have recently been adapted to tabular prediction by serializing structured features into natural language, but their performance in low-data regimes re…