Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Feng, Guanyu"'
Autor:
Hong, Wenyi, Wang, Weihan, Ding, Ming, Yu, Wenmeng, Lv, Qingsong, Wang, Yan, Cheng, Yean, Huang, Shiyu, Ji, Junhui, Xue, Zhao, Zhao, Lei, Yang, Zhuoyi, Gu, Xiaotao, Zhang, Xiaohan, Feng, Guanyu, Yin, Da, Wang, Zihan, Qi, Ji, Song, Xixuan, Zhang, Peng, Liu, Debing, Xu, Bin, Li, Juanzi, Dong, Yuxiao, Tang, Jie
Beginning with VisualGLM and CogVLM, we are continuously exploring VLMs in pursuit of enhanced vision-language fusion, efficient higher-resolution architecture, and broader modalities and applications. Here we propose the CogVLM2 family, a new genera
Externí odkaz:
http://arxiv.org/abs/2408.16500
Autor:
Yang, Zhuoyi, Teng, Jiayan, Zheng, Wendi, Ding, Ming, Huang, Shiyu, Xu, Jiazheng, Yang, Yuanming, Hong, Wenyi, Zhang, Xiaohan, Feng, Guanyu, Yin, Da, Gu, Xiaotao, Zhang, Yuxuan, Wang, Weihan, Cheng, Yean, Liu, Ting, Xu, Bin, Dong, Yuxiao, Tang, Jie
We introduce CogVideoX, a large-scale diffusion transformer model designed for generating videos based on text prompts. To efficently model video data, we propose to levearge a 3D Variational Autoencoder (VAE) to compress videos along both spatial an
Externí odkaz:
http://arxiv.org/abs/2408.06072
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:
Zhu, Qianchao, Duan, Jiangfei, Chen, Chang, Liu, Siran, Li, Xiuhong, Feng, Guanyu, Lv, Xin, Cao, Huanqi, Chuanfu, Xiao, Zhang, Xingcheng, Lin, Dahua, Yang, Chao
Large language models (LLMs) now support extremely long context windows, but the quadratic complexity of vanilla attention results in significantly long Time-to-First-Token (TTFT) latency. Existing approaches to address this complexity require additi
Externí odkaz:
http://arxiv.org/abs/2406.15486
Publikováno v:
In International Journal of Hydrogen Energy 18 October 2024 87:1499-1509
Effects of residence time and O2 on NH3 decomposition: Flow reactor experiments and kinetic analyses
Publikováno v:
In International Journal of Hydrogen Energy 28 August 2024 80:82-90
Publikováno v:
In Journal of Cleaner Production 5 January 2024 435
Autor:
Feng, Guanyu, Ma, Zixuan, Li, Daixuan, Chen, Shengqi, Zhu, Xiaowei, Han, Wentao, Chen, Wenguang
Publikováno v:
SIGMOD Conference 2021: 513-527
Evolving graphs in the real world are large-scale and constantly changing, as hundreds of thousands of updates may come every second. Monotonic algorithms such as Reachability and Shortest Path are widely used in real-time analytics to gain both stat
Externí odkaz:
http://arxiv.org/abs/2004.00803
Akademický článek
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Autor:
Zhu, Xiaowei, Feng, Guanyu, Serafini, Marco, Ma, Xiaosong, Yu, Jiping, Xie, Lei, Aboulnaga, Ashraf, Chen, Wenguang
The specific characteristics of graph workloads make it hard to design a one-size-fits-all graph storage system. Systems that support transactional updates use data structures with poor data locality, which limits the efficiency of analytical workloa
Externí odkaz:
http://arxiv.org/abs/1910.05773