Dual-Corpus RAG for Women's Hormonal Health: Component-Level Ablation Studies and Statistical Evaluation

May 2026

CSCI E-222 Foundations of Large Language Models, Harvard Extension School

This project built and evaluated a dual-corpus RAG system for women's hormonal health question answering. The system paired PubMedQA clinical evidence with MedQuAD patient-facing explanations, compared three retrieval modes, ran three ablation studies, and used bootstrap confidence intervals across 17 experimental conditions.

For an annotated code walkthrough, see the Research page.

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