2025
Measuring Lexical Diversity of Synthetic Data Generated through Fine-Grained Persona Prompting
EMNLP 2025
Fine-grained personas have recently been used for generating ‘diverse’ synthetic data for pre-training and supervised fine-tuning of Large Language Models (LLMs). In this work, we measure the diversity of persona-driven synthetically generated prompts and responses with a suite of lexical diversity