7 citations · 7 across the 3 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2025
Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
Yinggan Xu, Hana Kimlee, Yijia Xiao +1
Large Language Models (LLMs) are playing an increasingly important role in physics research by assisting with symbolic manipulation, numerical computation, and scientific reasoning…
cs.AI2025★ 7 cited
Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
Xiongbin Gui, Hanlin Lv, Xiao Wang +3
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carcinoma and liver cirrhosis, often requires interpreting semantically complex criteri…