| 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 | 967 | 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 |
| 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 |
| 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 |
| Evaluation of openai o1: Opportunities and challenges of agi T Zhong, Z Liu, Y Pan, Y Zhang, Y Zhou, S Liang, Z Wu, Y Lyu, P Shu, ... arXiv preprint arXiv:2409.18486, 2024 | 25 | 2024 |
| Holistic evaluation of gpt-4v for biomedical imaging Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu, Y Zhang, Y Pan, P Shu, ... arXiv preprint arXiv:2312.05256, 2023 | 25 | 2023 |
| A comprehensive review of multimodal large language models: Performance and challenges across different tasks J Wang, H Jiang, Y Liu, C Ma, X Zhang, Y Pan, M Liu, P Gu, S Xia, W Li, ... arXiv preprint arXiv:2408.01319, 2024 | 22 | 2024 |
| Discovering dynamic functional brain networks via spatial and channel-wise attention Y Liu, E Ge, M He, Z Liu, S Zhao, X Hu, D Zhu, T Liu, B Ge arXiv preprint arXiv:2205.09576, 2022 | 14 | 2022 |
| Spatial-temporal convolutional attention for mapping functional brain networks Y Liu, E Ge, N Qiang, T Liu, B Ge 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 5 | 2023 |
| Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research T Zhong, Z Yang, Z Liu, R Zhang, Y Liu, H Sun, Y Pan, Y Li, Y Zhou, ... arXiv preprint arXiv:2412.04497, 2024 | 2 | 2024 |
| Mapping dynamic spatial patterns of brain function with spatial-wise attention Y Liu, E Ge, M He, Z Liu, S Zhao, X Hu, N Qiang, D Zhu, T Liu, B Ge Journal of Neural Engineering 21 (2), 026005, 2024 | 2 | 2024 |
| Investigation of the Effectiveness of Applying ChatGPT in Dialogic Teaching of Electronic Information Using Electroencephalography J Zhang, Y Liu, W Cai, S Qi, T Long, B Ge 2024 6th International Conference on Computer Science and Technologies in …, 2024 | 1 | 2024 |
| Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI Y Liu, E Ge, Z Kang, N Qiang, T Liu, B Ge NeuroImage 287, 120519, 2024 | 1 | 2024 |
| Brain Surface Can Predict Fiber Connections Z Kang, Y Lv, M He, Y Liu, T Liu, B Ge 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 1 | 2023 |
| LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models X Gao, Y Cheng, P Li, Y Niu, Y Ren, Y Liu, H Sun, Z Li, W Xing, X Hu arXiv preprint arXiv:2410.20053, 2024 | | 2024 |
| Brain Cortical Surface Can Predict Fiber Trajectories T Han, Y Lv, M He, Y Liu, T Liu, B Ge 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | | 2024 |
| Deep learning in functional brain mapping and associated applications N Qiang, Q Dong, H Huang, H Wang, S Zhao, X Hu, Q Li, W Zhang, Y Liu, ... Deep Learning for Medical Image Analysis, 395-423, 2024 | | 2024 |
Bao GeShaanxi Normal Universitysnnu.edu.cn의 이메일 확인됨