Yuting Guo

Few-shot learning for medical text: A review of advances, trends, and opportunities

2023 · 95 Zit. · Journal of Biomedical Informatics

Evaluating large language models for health-related text classification tasks with public social media data

2024 · 48 Zit. · Journal of the American Medical Informatics Association

Few-shot learning for medical text: A systematic review

2022 · 6 Zit. · arXiv (Cornell University)

A Supervised Text Classification System Detects Fontan Patients in Electronic Records with Higher Accuracy than ICD Codes

2023 · 1 Zit. · medRxiv

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models

2025 · 0 Zit. · ArXiv.org

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models

2025 · 0 Zit. · ArXiv.org

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks

2025 · 0 Zit. · ArXiv.org

Improving few-shot named entity recognition for large language models using structured dynamic prompting with retrieval augmented generation

2026 · 0 Zit. · npj Artificial Intelligence