24 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
Sean Wu, Michael Koo, Fabien Scalzo +1
Large language models (LLMs) have demonstrated increasingly sophisticated performance in medical and other fields of knowledge. Traditional methods of creating specialist LLMs requ…
cs.CL2024
Adversarial Databases Improve Success in Retrieval-based Large Language Models
Sean Wu, Michael Koo, Li Yo Kao +4
Open-source LLMs have shown great potential as fine-tuned chatbots, and demonstrate robust abilities in reasoning and surpass many existing benchmarks. Retrieval-Augmented Generati…
cs.CL2023★ 24 cited
A Comparative Study of Open-Source Large Language Models, GPT-4 and Claude 2: Multiple-Choice Test Taking in Nephrology
Sean Wu, Michael Koo, Lesley Blum +4
In recent years, there have been significant breakthroughs in the field of natural language processing, particularly with the development of large language models (LLMs). These LLM…