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20242026
most citedEnhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology

7 citations · 11 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CL2025★ 1 cited

Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights

Hyunjae Kim, Jiwoong Sohn, Aidan Gilson +24

Large language models (LLMs) are transforming the landscape of medicine, yet two fundamental challenges persist: keeping up with rapidly evolving medical knowledge and providing ve…

cs.CL2025★ 2 cited

Can OpenAI o1 Reason Well in Ophthalmology? A 6,990-Question Head-to-Head Evaluation Study

Sahana Srinivasan, Xuguang Ai, Minjie Zou +14

Question: What is the performance and reasoning ability of OpenAI o1 compared to other large language models in addressing ophthalmology-specific questions? Findings: This study ev…