Zobrazeno 1 - 10
of 532
pro vyhledávání: '"ZHAO, Wenyi"'
Autor:
Qi, Zehan, Liu, Xiao, Iong, Iat Long, Lai, Hanyu, Sun, Xueqiao, Zhao, Wenyi, Yang, Yu, Yang, Xinyue, Sun, Jiadai, Yao, Shuntian, Zhang, Tianjie, Xu, Wei, Tang, Jie, Dong, Yuxiao
Large language models (LLMs) have shown remarkable potential as autonomous agents, particularly in web-based tasks. However, existing LLM web agents heavily rely on expensive proprietary LLM APIs, while open LLMs lack the necessary decision-making ca
Externí odkaz:
http://arxiv.org/abs/2411.02337
Autor:
Liu, Xiao, Qin, Bo, Liang, Dongzhu, Dong, Guang, Lai, Hanyu, Zhang, Hanchen, Zhao, Hanlin, Iong, Iat Long, Sun, Jiadai, Wang, Jiaqi, Gao, Junjie, Shan, Junjun, Liu, Kangning, Zhang, Shudan, Yao, Shuntian, Cheng, Siyi, Yao, Wentao, Zhao, Wenyi, Liu, Xinghan, Liu, Xinyi, Chen, Xinying, Yang, Xinyue, Yang, Yang, Xu, Yifan, Yang, Yu, Wang, Yujia, Xu, Yulin, Qi, Zehan, Dong, Yuxiao, Tang, Jie
We present AutoGLM, a new series in the ChatGLM family, designed to serve as foundation agents for autonomous control of digital devices through Graphical User Interfaces (GUIs). While foundation models excel at acquiring human knowledge, they often
Externí odkaz:
http://arxiv.org/abs/2411.00820
Autor:
GLM, Team, Zeng, Aohan, Xu, Bin, Wang, Bowen, Zhang, Chenhui, Yin, Da, Zhang, Dan, Rojas, Diego, Feng, Guanyu, Zhao, Hanlin, Lai, Hanyu, Yu, Hao, Wang, Hongning, Sun, Jiadai, Zhang, Jiajie, Cheng, Jiale, Gui, Jiayi, Tang, Jie, Zhang, Jing, Sun, Jingyu, Li, Juanzi, Zhao, Lei, Wu, Lindong, Zhong, Lucen, Liu, Mingdao, Huang, Minlie, Zhang, Peng, Zheng, Qinkai, Lu, Rui, Duan, Shuaiqi, Zhang, Shudan, Cao, Shulin, Yang, Shuxun, Tam, Weng Lam, Zhao, Wenyi, Liu, Xiao, Xia, Xiao, Zhang, Xiaohan, Gu, Xiaotao, Lv, Xin, Liu, Xinghan, Liu, Xinyi, Yang, Xinyue, Song, Xixuan, Zhang, Xunkai, An, Yifan, Xu, Yifan, Niu, Yilin, Yang, Yuantao, Li, Yueyan, Bai, Yushi, Dong, Yuxiao, Qi, Zehan, Wang, Zhaoyu, Yang, Zhen, Du, Zhengxiao, Hou, Zhenyu, Wang, Zihan
We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B. They represent our most capable model
Externí odkaz:
http://arxiv.org/abs/2406.12793
Autor:
Xu, Yifan, Liu, Xiao, Liu, Xinghan, Hou, Zhenyu, Li, Yueyan, Zhang, Xiaohan, Wang, Zihan, Zeng, Aohan, Du, Zhengxiao, Zhao, Wenyi, Tang, Jie, Dong, Yuxiao
Large language models (LLMs) have shown excellent mastering of human language, but still struggle in real-world applications that require mathematical problem-solving. While many strategies and datasets to enhance LLMs' mathematics are developed, it
Externí odkaz:
http://arxiv.org/abs/2404.02893
Autor:
Liu, Wentao, Tian, Tong, Xu, Weijin, Liang, Bowen, Lu, Qingsheng, Pan, Xipeng, Zhao, Wenyi, Yang, Huihua, Su, Ruisheng
Autonomous robots in endovascular interventions possess the potential to navigate guidewires with safety and reliability, while reducing human error and shortening surgical time. However, current methods of guidewire navigation based on Reinforcement
Externí odkaz:
http://arxiv.org/abs/2403.05748
Semi-supervised medical image segmentation (SSMIS) has witnessed substantial advancements by leveraging limited labeled data and abundant unlabeled data. Nevertheless, existing state-of-the-art (SOTA) methods encounter challenges in accurately predic
Externí odkaz:
http://arxiv.org/abs/2310.05082
Autor:
Liu, Wentao, Tian, Tong, Wang, Lemeng, Xu, Weijin, Li, Lei, Li, Haoyuan, Zhao, Wenyi, Tian, Siyu, Pan, Xipeng, Yang, Huihua, Gao, Feng, Deng, Yiming, Yang, Xin, Su, Ruisheng
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly contributing to computer-assisted stroke research and clinical practice
Externí odkaz:
http://arxiv.org/abs/2306.12153
Since first proposed, Video Instance Segmentation(VIS) task has attracted vast researchers' focus on architecture modeling to boost performance. Though great advances achieved in online and offline paradigms, there are still insufficient means to ide
Externí odkaz:
http://arxiv.org/abs/2210.08856
Publikováno v:
In Expert Systems With Applications 5 December 2024 256
