Guangzhi Xiong的动态

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Ph.D. Student at the University of Virginia

Happy to share our follow-up work on MedRAG this summer: i-MedRAG: https://lnkd.in/eiDZPhmN! i-MedRAG introduces iterative retrieval-augmented generation, enabling LLMs to generate dynamic follow-up queries and perform step-by-step reasoning. This approach significantly improves the performance of RAG systems on complex medical question-answering tasks, such as USMLE-style questions. Many thanks to my amazing collaborators: Dr. Qiao Jin, Xiao Wang, Prof. Minjia Zhang, Dr. Zhiyong Lu, PhD FACMI, and Prof. Aidong Zhang!

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Qingyu Chen

Assistant Professor at Yale University. Hiring.

2 个月

Great work!

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