| Improving large language models for clinical named entity recognition via prompt engineering Y Hu, Q Chen, J Du, X Peng, VK Keloth, X Zuo, Y Zhou, Z Li, X Jiang, Z Lu, ... Journal of the American Medical Informatics Association, ocad259, 2024 | 114 | 2024 |
| Zero-shot clinical entity recognition using chatgpt Y Hu, I Ameer, X Zuo, X Peng, Y Zhou, Z Li, Y Li, J Li, X Jiang, H Xu arXiv preprint arXiv:2303.16416, 2023 | 91 | 2023 |
| Conversational bots for psychotherapy: a study of generative transformer models using domain-specific dialogues A Das, S Selek, AR Warner, X Zuo, Y Hu, VK Keloth, J Li, WJ Zheng, H Xu Proceedings of the 21st Workshop on Biomedical Language Processing, 285-297, 2022 | 54 | 2022 |
| Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, J Du, Y Hu, V Kuttichi Keloth, X Peng, K Raja, R Zhang, Z Lu, ... arXiv e-prints, arXiv: 2305.16326, 2023 | 46 | 2023 |
| Me llama: Foundation large language models for medical applications Q Xie, Q Chen, A Chen, C Peng, Y Hu, F Lin, X Peng, J Huang, J Zhang, ... arXiv preprint arXiv:2402.12749, 2024 | 38 | 2024 |
| Identifying and Extracting Rare Diseases and Their Phenotypes with Large Language Models C Shyr, Y Hu, L Bastarache, A Cheng, R Hamid, P Harris, H Xu Journal of Healthcare Informatics Research 8 (2), 438-461, 2024 | 35* | 2024 |
| Advancing entity recognition in biomedicine via instruction tuning of large language models VK Keloth, Y Hu, Q Xie, X Peng, Y Wang, A Zheng, M Selek, K Raja, ... Bioinformatics 40 (4), btae163, 2024 | 32 | 2024 |
| Application of machine learning approaches for the design and study of anticancer drugs Y Hu, Y Lu, S Wang, M Zhang, X Qu, B Niu Current Drug Targets 20 (5), 488-500, 2019 | 32 | 2019 |
| Identify compounds' target against Alzheimer's disease based on in-silico approach Y Hu, G Zhou, C Zhang, M Zhang, Q Chen, L Zheng, B Niu Current Alzheimer Research 16 (3), 193-208, 2019 | 26 | 2019 |
| 2D-SAR, Topomer CoMFA and molecular docking studies on avian influenza neuraminidase inhibitors B Niu, Y Lu, J Wang, Y Hu, J Chen, Q Chen, G He, L Zheng Computational and Structural Biotechnology Journal 17, 39-48, 2019 | 23 | 2019 |
| Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach Y Hu, VK Keloth, K Raja, Y Chen, H Xu Bioinformatics, btad542, 2023 | 14 | 2023 |
| Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, et al. Improving large language models for clinical named entity … Y Hu, Q Chen Journal of the American Medical Informatics Association, page ocad259, 2024 | 10 | 2024 |
| Towards More Generalizable and Accurate Sentence Classification in Medical Abstracts with Less Data Y Hu, Y Chen, H Xu Journal of Healthcare Informatics Research 7 (4), 542-556, 2023 | 8* | 2023 |
| A span-based model for extracting overlapping PICO entities from randomized controlled trial publications G Zhang, Y Zhou, Y Hu, H Xu, C Weng, Y Peng Journal of the American Medical Informatics Association 31 (5), 1163-1171, 2024 | 7 | 2024 |
| Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, and Hua Xu. Improving large language models for … Y Hu, Q Chen Journal of the American Medical Informatics Association, 1-10, 2024 | 7 | 2024 |
| Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations. arXiv Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja arXiv preprint arXiv:2305.16326, 2023 | 7 | 2023 |
| Clinicallayoutlm: A pre-trained multi-modal model for understanding scanned document in electronic health records Q Wei, X Zuo, O Anjum, Y Hu, R Denlinger, EV Bernstam, MJ Citardi, H Xu 2022 IEEE International Conference on Big Data (Big Data), 2821-2827, 2022 | 7 | 2022 |
| Auto-CORPus: A natural language processing tool for standardizing and reusing biomedical literature T Beck, T Shorter, Y Hu, Z Li, S Sun, CM Popovici, NAR McQuibban, ... Frontiers in Digital Health 4, 788124, 2022 | 7 | 2022 |
| Ensemble pretrained language models to extract biomedical knowledge from literature Z Li, Q Wei, LC Huang, J Li, Y Hu, YS Chuang, J He, A Das, VK Keloth, ... Journal of the American Medical Informatics Association, ocae061, 2024 | 6 | 2024 |
| Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, et al. 2024. Improving large language models for clinical named … Y Hu, Q Chen Journal of the American Medical Informatics Association, 2024 | 6 | 2024 |
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale University在 yale.edu 的電子郵件地址已通過驗證