Yu Bai

Explain the Synth: Interpretable Evaluation of LLM Data Synthesis

This work presents a conceptually simple, interpretable auditing framework that compares the explanatory structure induced by real versus synthetic data, and turns synthetic data evaluation into a human-auditable comparison of explanations, improving transparency for LLM-based tabular synthesis.