Zhiyong Lu

Nov 17, 2024 | flipboard.com | Qiao Jin |Zifeng Wang |Charalampos S Floudas |Fangyuan Chen |Changlin Gong |Dara Bracken-Clarke | +4 more

4 hours agoHas AI Killed Graphic Design Jobs? The rapid advancement of generative AI technologies has undeniably transformed various sectors, including the field of graphic design.

Sep 8, 2024 | nature.com | Qiao Jin |Yiliang Zhou |Song Wang |Jordan G. Nestor |Ali Soroush |Zhiyong Lu | +1 more

AbstractLarge language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and vendor dependency. While open-source LLMs allow better transparency and customization, their performance falls short compared to the proprietary ones.

Feb 20, 2024 | arxiv.org | Qiao Jin |Zhiyong Lu |Aidong Zhang

[Submitted on 20 Feb 2024 ( v1 ), last revised 23 Feb 2024 (this version, v2)] Title:Benchmarking Retrieval-Augmented Generation for Medicine Download a PDF of the paper titled Benchmarking Retrieval-Augmented Generation for Medicine, by Guangzhi Xiong and Qiao Jin and Zhiyong Lu and Aidong Zhang Download PDF HTML (experimental) Abstract:While large language models (LLMs) have achieved state-of-the-art performance on a wide range of medical question answering (QA) tasks, they still face...