Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science

arXiv:2403.20208v1 Announce Type: new
Abstract: In the domain of data science, the predictive tasks of classification, regression, and imputation of missing values are commonly encountered challenges associated with tabular data. This research endeavors to apply Large Language Models (LLMs) towards addressing these predictive tasks. Despite their proficiency in comprehending natural language, LLMs fall short in dealing with structured tabular data. This limitation stems from their lacking exposure to the intricacies of tabular data during their foundational training. Our research aims …

abstract apply arxiv challenges classification cs.ai cs.lg data data science domain imputation language language models large language large language models llms missing values predictive regression research science tabular tabular data tasks type values