Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Men, Xin"'
Autor:
Dong, Zican, Li, Junyi, Men, Xin, Zhao, Wayne Xin, Wang, Bingbing, Tian, Zhen, Chen, Weipeng, Wen, Ji-Rong
Transformer-based large language models (LLMs) typically have a limited context window, resulting in significant performance degradation when processing text beyond the length of the context window. Extensive studies have been proposed to extend the
Externí odkaz:
http://arxiv.org/abs/2405.18009
Autor:
Men, Xin, Xu, Mingyu, Wang, Bingning, Zhang, Qingyu, Lin, Hongyu, Han, Xianpei, Chen, Weipeng
Position embedding is a core component of current Large Language Models (LLMs). Rotary position embedding (RoPE), a technique that encodes the position information with a rotation matrix, has been the de facto choice for position embedding in many LL
Externí odkaz:
http://arxiv.org/abs/2405.14591
Autor:
Men, Xin, Xu, Mingyu, Zhang, Qingyu, Wang, Bingning, Lin, Hongyu, Lu, Yaojie, Han, Xianpei, Chen, Weipeng
As Large Language Models (LLMs) continue to advance in performance, their size has escalated significantly, with current LLMs containing billions or even trillions of parameters. However, in this study, we discovered that many layers of LLMs exhibit
Externí odkaz:
http://arxiv.org/abs/2403.03853
Autor:
Yang, Aiyuan, Xiao, Bin, Wang, Bingning, Zhang, Borong, Bian, Ce, Yin, Chao, Lv, Chenxu, Pan, Da, Wang, Dian, Yan, Dong, Yang, Fan, Deng, Fei, Wang, Feng, Liu, Feng, Ai, Guangwei, Dong, Guosheng, Zhao, Haizhou, Xu, Hang, Sun, Haoze, Zhang, Hongda, Liu, Hui, Ji, Jiaming, Xie, Jian, Dai, JunTao, Fang, Kun, Su, Lei, Song, Liang, Liu, Lifeng, Ru, Liyun, Ma, Luyao, Wang, Mang, Liu, Mickel, Lin, MingAn, Nie, Nuolan, Guo, Peidong, Sun, Ruiyang, Zhang, Tao, Li, Tianpeng, Li, Tianyu, Cheng, Wei, Chen, Weipeng, Zeng, Xiangrong, Wang, Xiaochuan, Chen, Xiaoxi, Men, Xin, Yu, Xin, Pan, Xuehai, Shen, Yanjun, Wang, Yiding, Li, Yiyu, Jiang, Youxin, Gao, Yuchen, Zhang, Yupeng, Zhou, Zenan, Wu, Zhiying
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering. However, most powerful LL
Externí odkaz:
http://arxiv.org/abs/2309.10305
Autor:
Men, Xin1, Wang, Qian2, Dong, Jia-fu1, Chen, Pei1, Qiu, Xiao-xiao1, Han, Yin-qiu1, Wang, Wei-long1, Zhou, Jin1, Shou, Hong-yan1, Zhou, Zhen-feng1 zhenfeng9853@163.com
Publikováno v:
BMC Anesthesiology. 6/25/2024, Vol. 24 Issue 1, p1-9. 9p.
Autor:
Wang, Yuanyuan, Men, Xin, Huang, Xiaodong, Qiu, Xiaoxiao, Wang, Weilong, Zhou, Jin, Zhou, Zhenfeng
Publikováno v:
In Heliyon 15 July 2024 10(13)
Autor:
Jiang, Guan-Li, Fu, Zi-Teng, Men, Xin-Yu, Zhao, Hong-Ting, Gao, Si-Ru, Liu, Yong-Zhi, Wu, Qing-Bai
Publikováno v:
In Advances in Climate Change Research February 2024 15(1):90-100
Autor:
Lu, Guolong, Men, Xin, Tang, Ruoqi, Wang, Zhida, Cui, Hao, Zheng, Tongxi, Wang, Mi, Yang, Haoqi, Liu, Zhenning
Publikováno v:
In Journal of Colloid And Interface Science February 2024 655:90-99
Publikováno v:
In Ceramics International 15 August 2023 49(16):26380-26390
Autor:
Men, Xin, Tang, Ruoqi, Yang, Haoqi, Wang, Mi, Sun, Hang, Liang, Song, Liu, Zhenning, Lu, Guolong
Publikováno v:
In Applied Surface Science 1 February 2023 610