9 papers
Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Guancheng Wan, Lucheng Fu, Haoxin Liu +10
The performance of Large Language Models (LLMs) hinges on carefully engineered prompts. However, prevailing prompt optimization methods, ranging from heuristic edits and reinforcem…
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
Yuheng Li, Jiechao Gao, Wei Han +3
Knowledge of the medical decision process, which can be modeled as medical decision trees (MDTs), is critical to building clinical decision support systems. However, current MDT co…
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System
Hui Yi Leong, Yuheng Li, Yuqing Wu +4
Although large language models (LLMs) have revolutionized natural language processing capabilities, their practical implementation as autonomous multi-agent systems (MAS) for indus…
Coarse-to-Fine Personalized LLM Impressions for Streamlined Radiology Reports
Chengbo Sun, Hui Yi Leong, Lei Li
The manual creation of the "Impression" section in radiology reports is a primary driver of radiologist burnout. To address this challenge, we propose a coarse-to-fine framework th…
A GEN AI Framework for Medical Note Generation
Hui Yi Leong, Yi Fan Gao, Shuai Ji +2
The increasing administrative burden of medical documentation, particularly through Electronic Health Records (EHR), significantly reduces the time available for direct patient car…
Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
Hui Yi Leong, Yi Fan Gao, Ji Shuai +2
Scientific research indicates that for every hour spent in direct patient care, physicians spend nearly two additional hours on administrative tasks, particularly on electronic hea…