most citedDevelopment and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

19 citations · 43 across the 7 of their papers we have counts for

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cs.AI2024★ 6 cited

Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine

Rui Yang, Yilin Ning, Emilia Keppo +6

Generative artificial intelligence (AI) has brought revolutionary innovations in various fields, including medicine. However, it also exhibits limitations. In response, retrieval-a…

cs.AI2024★ 6 cited

Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4

Ting Fang Tan, Kabilan Elangovan, Liyuan Jin +9

Purpose: To assess the alignment of GPT-4-based evaluation to human clinician experts, for the evaluation of responses to ophthalmology-related patient queries generated by fine-tu…