Luo Xuanhang

LEAF: benchmarking multiobjective evolutionary feature selection over large language model–extracted symptoms for interpretable Traditional Chinese Medicine respiratory syndrome differentiation

Differentiating Traditional Chinese Medicine (TCM) respiratory syndromes requires weighing overlapping symptoms together with tongue and pulse findings, a task that most AI systems for TCM perform end-to-end but without an interpretable intermediate representation. In this study, we addressed this gap with LEAF (LLM ex...

Large Language Model Extraction with Multi-Objective Evolutionary Feature Selection for Interpretable Differentiation of TCM Respiratory Syndromes