| Summary of chatgpt-related research and perspective towards the future of large language models Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li, M He, Z Liu, Z Wu, ... Meta-Radiology, 100017, 2023 | 998 | 2023 |
| Auggpt: Leveraging chatgpt for text data augmentation H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, F Zeng, W Liu, ... IEEE Transactions on Big Data, 2025 | 356* | 2025 |
| Deid-gpt: Zero-shot medical text de-identification by gpt-4 Z Liu, Y Huang, X Yu, L Zhang, Z Wu, C Cao, H Dai, L Zhao, Y Li, P Shu, ... arXiv preprint arXiv:2303.11032, 2023 | 171 | 2023 |
| Prompt engineering for healthcare: Methodologies and applications J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ... arXiv preprint arXiv:2304.14670, 2023 | 151 | 2023 |
| Review of large vision models and visual prompt engineering J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ... Meta-Radiology, 100047, 2023 | 146 | 2023 |
| When brain-inspired ai meets agi L Zhao, L Zhang, Z Wu, Y Chen, H Dai, X Yu, Z Liu, T Zhang, X Hu, ... Meta-Radiology, 100005, 2023 | 104 | 2023 |
| An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT C Ma, Z Wu, J Wang, S Xu, Y Wei, Z Liu, F Zeng, X Jiang, L Guo, X Cai, ... IEEE Transactions on Artificial Intelligence, 2024 | 100 | 2024 |
| Differentiating ChatGPT-generated and human-written medical texts: quantitative study W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang, X Huang, D Zhu, H Cai, Q Li, ... JMIR Medical Education 9 (1), e48904, 2023 | 95 | 2023 |
| Radiology-llama2: Best-in-class large language model for radiology Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu, C Ma, J Luo, C Chen, ... arXiv preprint arXiv:2309.06419, 2023 | 94 | 2023 |
| Large language models for robotics: Opportunities, challenges, and perspectives J Wang, Z Wu, Y Li, H Jiang, P Shu, E Shi, H Hu, C Ma, Y Liu, X Wang, ... arXiv preprint arXiv:2401.04334, 2024 | 86 | 2024 |
| Revolutionizing finance with llms: An overview of applications and insights H Zhao, Z Liu, Z Wu, Y Li, T Yang, P Shu, S Xu, H Dai, L Zhao, G Mai, ... arXiv preprint arXiv:2401.11641, 2024 | 81 | 2024 |
| Understanding llms: A comprehensive overview from training to inference Y Liu, H He, T Han, X Zhang, M Liu, J Tian, Y Zhang, J Wang, X Gao, ... arXiv preprint arXiv:2401.02038, 2024 | 80 | 2024 |
| A deep learning model for detecting cage-free hens on the litter floor X Yang, L Chai, RB Bist, S Subedi, Z Wu Animals 12 (15), 1983, 2022 | 63 | 2022 |
| Multimodality of ai for education: Towards artificial general intelligence GG Lee, L Shi, E Latif, Y Gao, A Bewersdorff, M Nyaaba, S Guo, Z Wu, ... arXiv preprint arXiv:2312.06037, 2023 | 52 | 2023 |
| Clinicalradiobert: Knowledge-infused few shot learning for clinical notes named entity recognition S Rezayi, H Dai, Z Liu, Z Wu, A Hebbar, AH Burns, L Zhao, D Zhu, Q Li, ... International Workshop on Machine Learning in Medical Imaging, 269-278, 2022 | 51 | 2022 |
| Artificial general intelligence for medical imaging analysis X Li, L Zhao, L Zhang, Z Wu, Z Liu, H Jiang, C Cao, S Xu, Y Li, H Dai, ... IEEE Reviews in Biomedical Engineering, 2024 | 50 | 2024 |
| Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task Z Wu, L Zhang, C Cao, X Yu, H Dai, C Ma, Z Liu, L Zhao, G Li, W Liu, Q Li, ... arXiv preprint arXiv:2304.09138, 2023 | 47 | 2023 |
| Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun, L Guan, G Lu, G Mai, N Liu, ... arXiv preprint arXiv:2309.07438, 2023 | 46 | 2023 |
| Samaug: Point prompt augmentation for segment anything model H Dai, C Ma, Z Yan, Z Liu, E Shi, Y Li, P Shu, X Wei, L Zhao, Z Wu, F Zeng, ... arXiv preprint arXiv:2307.01187, 2023 | 46 | 2023 |
| AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. S Rezayi, Z Liu, Z Wu, C Dhakal, B Ge, C Zhen, T Liu, S Li IJCAI, 5150-5156, 2022 | 46 | 2022 |
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaBestätigte E-Mail-Adresse bei cs.uga.edu