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Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Commonly used automatic summary evaluation methods, such as Recall-Oriented Understudy for Gisting Evaluation (ROUGE) [11] and bilingual evaluation understudy (BLEU) [12], primarily focus on text overlap between generated and gold-standard summaries. In the absence of gold-standard summaries, subject matter experts manually and qualitatively evaluated the important nuances of generative summaries, which is impossible with ROUGE or BLEU. We used Likert-scale evaluations (Table 2).

Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

J Med Internet Res 2025;27:e66220

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