Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Zhengliang, Liu"'
Autor:
Zhenyuan, Yang, Zhengliang, Liu, Jing, Zhang, Cen, Lu, Jiaxin, Tai, Tianyang, Zhong, Yiwei, Li, Siyan, Zhao, Teng, Yao, Qing, Liu, Jinlin, Yang, Qixin, Liu, Zhaowei, Li, Kexin, Wang, Longjun, Ma, Dajiang, Zhu, Yudan, Ren, Bao, Ge, Wei, Zhang, Ning, Qiang, Tuo, Zhang, Tianming, Liu
This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compared directly to those produced by graduate-level human participants. B
Externí odkaz:
http://arxiv.org/abs/2410.18142
Autor:
Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Chao Cao, Haixing Dai, Ninghao Liu, Jun Liu, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
Publikováno v:
Frontiers in Radiology, Vol 3 (2024)
At the dawn of of Artificial General Intelligence (AGI), the emergence of large language models such as ChatGPT show promise in revolutionizing healthcare by improving patient care, expanding medical access, and optimizing clinical processes. However
Externí odkaz:
https://doaj.org/article/4aee005b9143410bb62b7c8b88ede6dc
Autor:
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Tianming Liu, Xiang Li
Publikováno v:
JMIR Medical Education, Vol 9, p e48904 (2023)
BackgroundLarge language models, such as ChatGPT, are capable of generating grammatically perfect and human-like text content, and a large number of ChatGPT-generated texts have appeared on the internet. However, medical texts, such as clinical notes
Externí odkaz:
https://doaj.org/article/8e77704d98724ad6a0ddae0555296aad
Autor:
Hailiang Zhang, Lingxu Yang, Xue Zhang, Qian Wang, Jiangtao Wu, Zhengliang Liu, Chaoliu Zeng, Shenglong Zhu
Publikováno v:
Journal of Materials Research and Technology, Vol 23, Iss , Pp 245-257 (2023)
The hot corrosion behavior of 304 stainless steel (304SS) and the enamel coating in KCl–ZnCl2 salts is studied. The corrosion kinetics of the samples shows that the mass loss of enamel coating is far lower than that of 304SS, indicating that the en
Externí odkaz:
https://doaj.org/article/8a270aeb582542ceb48df8eb12183be2
Autor:
Chenbin Liu, Zhengliang Liu, Jason Holmes, Lu Zhang, Lian Zhang, Yuzhen Ding, Peng Shu, Zihao Wu, Haixing Dai, Yiwei Li, Dinggang Shen, Ninghao Liu, Quanzheng Li, Xiang Li, Dajiang Zhu, Tianming Liu, Wei Liu
Publikováno v:
Meta-Radiology, Vol 1, Iss 3, Pp 100045- (2023)
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can process extensive texts and large vision models (LVMs) such as the Seg
Externí odkaz:
https://doaj.org/article/d5218644b8f64acab7ba547306c56259
Autor:
Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang
Publikováno v:
Meta-Radiology, Vol 1, Iss 3, Pp 100047- (2023)
Visual prompt engineering is a fundamental methodology in the field of visual and image artificial general intelligence. As the development of large vision models progresses, the importance of prompt engineering becomes increasingly evident. Designin
Externí odkaz:
https://doaj.org/article/3ef625459fec4f96b145834fa98fa7e6
Autor:
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Lin Zhao, Dajiang Zhu, Xiang Li, Ning Qiang, Dingang Shen, Tianming Liu, Bao Ge
Publikováno v:
Meta-Radiology, Vol 1, Iss 2, Pp 100017- (2023)
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations such as l
Externí odkaz:
https://doaj.org/article/47fd0baa31f443258bb73cec5412bacc
Autor:
Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeWe present the first study to investigate Large Language Models (LLMs) in answering radiation oncology physics questions. Because popular exams like AP Physics, LSAT, and GRE have large test-taker populations and ample test preparation resourc
Externí odkaz:
https://doaj.org/article/142b518fb68a4efba8a539160d00300b
Autor:
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu
Publikováno v:
Meta-Radiology, Vol 1, Iss 1, Pp 100005- (2023)
Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. To achieve this, AGI researchers draw inspiration from the human brain
Externí odkaz:
https://doaj.org/article/b9c0434f29744736bf57199644f5db5c
Publikováno v:
Materials, Vol 16, Iss 24, p 7677 (2023)
Fatigue delamination damage is one of the most important fatigue failure modes for laminated composite structures. However, there are still many challenging problems in the development of the theoretical framework, mathematical/physical models, and n
Externí odkaz:
https://doaj.org/article/a98d108f5b9848119019a4ed276e46c1