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 | 462 | 2023 |
Auggpt: Leveraging chatgpt for text data augmentation H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, W Liu, N Liu, ... arXiv preprint arXiv:2302.13007, 2023 | 188 | 2023 |
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 | 106 | 2023 |
Evaluating large language models on a highly-specialized topic, radiation oncology physics J Holmes, Z Liu, L Zhang, Y Ding, TT Sio, LA McGee, JB Ashman, X Li, ... Frontiers in Oncology 13, 2023 | 65 | 2023 |
Impressiongpt: an iterative optimizing framework for radiology report summarization with chatgpt C Ma, Z Wu, J Wang, S Xu, Y Wei, Z Liu, X Jiang, L Guo, X Cai, S Zhang, ... arXiv preprint arXiv:2304.08448, 2023 | 62 | 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 | 58 | 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 | 55 | 2023 |
Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 53 | 2024 |
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 | 50 | 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 | 48 | 2023 |
Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks K Zhang, J Yu, Z Yan, Y Liu, E Adhikarla, S Fu, X Chen, C Chen, Y Zhou, ... arXiv preprint arXiv:2305.17100, 2023 | 48 | 2023 |
Survey on Individual Differences in Visualization Z Liu, RJ Crouser, A Ottley Computer Graphics Forum, 39: 693-712. doi:10.1111/cgf.14033, 2020 | 48 | 2020 |
Differentiate chatgpt-generated and human-written medical texts W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang, X Huang, D Zhu, H Cai, T Liu, ... arXiv preprint arXiv:2304.11567, 2023 | 45 | 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, X Li, ... The 13th International Workshop on Machine Learning in Medical Imaging (MLMI …, 2022 | 40 | 2022 |
Context matters: A strategy to pre-train language model for science education Z Liu, X He, L Liu, T Liu, X Zhai International Conference on Artificial Intelligence in Education, 666-674, 2023 | 37 | 2023 |
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 | 34 | 2023 |
Survey on natural language processing in medical image analysis. Z Liu, M He, Z Jiang, Z Wu, H Dai, L Zhang, S Luo, T Han, X Li, X Jiang, ... Zhong nan da xue xue bao. Yi xue ban= Journal of Central South University …, 2022 | 30 | 2022 |
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 International Joint Conference on Artificial Intelligence, 2022 | 28 | 2022 |
Samaug: Point prompt augmentation for segment anything model H Dai, C Ma, Z Liu, Y Li, P Shu, X Wei, L Zhao, Z Wu, D Zhu, W Liu, Q Li, ... arXiv preprint arXiv:2307.01187, 2023 | 26 | 2023 |
Chatabl: Abductive learning via natural language interaction with chatgpt T Zhong, Y Wei, L Yang, Z Wu, Z Liu, X Wei, W Li, J Yao, C Ma, X Li, ... arXiv preprint arXiv:2304.11107, 2023 | 24 | 2023 |