Are Today's LLMs Ready to Explain Well-Being Concepts?
Bohan Jiang, Dawei Li, Zhen Tan, Chengshuai Zhao, Huan Liu • August 5, 2025
This paper investigates whether Large Language Models (LLMs) can generate high-quality explanations of well-being concepts that are tailored to diverse audiences. The research constructs a large-scale dataset of 43,880 explanations from 10 diverse LLMs for 2,194 well-being concepts, and introduces a principle-guided LLM-as-a-judge evaluation framework.