4 papers · 1 filter
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…
Streamlining Biomedical Research with Specialized LLMs
Linqing Chen, Weilei Wang, Yubin Xia +30
In this paper, we propose a novel system that integrates state-of-the-art, domain-specific large language models with advanced information retrieval techniques to deliver comprehen…
PharmaGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry
Linqing Chen, Weilei Wang, Zilong Bai +33
Large language models (LLMs) have revolutionized Natural Language Processing (NLP) by minimizing the need for complex feature engineering. However, the application of LLMs in speci…
PatentGPT: A Large Language Model for Intellectual Property
Zilong Bai, Ruiji Zhang, Linqing Chen +24
In recent years, large language models(LLMs) have attracted significant attention due to their exceptional performance across a multitude of natural language process tasks, and hav…