1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Self-supervised denoising of visual field data improves detection of glaucoma progression
Sean Wu, Jun Yu Chen, Vahid Mohammadzadeh +6
Perimetric measurements provide insight into a patient's peripheral vision and day-to-day functioning and are the main outcome measure for identifying progression of visual damage…
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…
Predicting Outcomes in Video Games with Long Short Term Memory Networks
Kittimate Chulajata, Sean Wu, Fabien Scalzo +1
Forecasting winners in E-sports with real-time analytics has the potential to further engage audiences watching major tournament events. However, making such real-time predictions…
Nodule detection and generation on chest X-rays: NODE21 Challenge
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt +16
Pulmonary nodules may be an early manifestation of lung cancer, the leading cause of cancer-related deaths among both men and women. Numerous studies have established that deep lea…