LLM-Powered Data Generator for Tabular Data Diversity

This research explores a novel application of Large Language Models (LLMs) for generating diverse tabular data. The paper's contribution lies in addressing the challenges associated with data heterogeneity, a crucial aspect for robust AI model training.

• •Leverages LLMs to generate tabular data, a significant advancement.
• •Addresses data heterogeneity, a crucial aspect of model training.
• •Focuses on creating a 'diversity-aware' data generator.