3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CY2026
AI-generated data contamination erodes pathological variability and diagnostic reliability
Hongyu He, Shaowen Xiang, Ye Zhang +15
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content, creating a feedback loop where future models are increasingly at risk of train…
cs.CY2024★ 3 cited
Safety challenges of AI in medicine in the era of large language models
Xiaoye Wang, Nicole Xi Zhang, Hongyu He +9
Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs), have unlocked significant potential to enhance the quality and efficiency of medi…
physics.chem-ph2024★ 2 cited
SynAsk: Unleashing the Power of Large Language Models in Organic Synthesis
Chonghuan Zhang, Qianghua Lin, Biwei Zhu +5
The field of natural language processing (NLP) has witnessed a transformative shift with the emergence of large language models (LLMs), revolutionizing various language tasks and a…