Zobrazeno 1 - 10
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pro vyhledávání: '"ZHANG Chenchen"'
Autor:
Gan Guangming, Chen Mei, Yu Qinfeng, Gao Xiang, Zhang Chenchen, Sheng Qingyuan, Xie Wei, Geng Junhua
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 17 (2023)
The Drosophila larval neuromuscular junction (NMJ) is a well-known model system and is often used to study synapse development. Here, we show synaptic degeneration at NMJ boutons, primarily based on transmission electron microscopy (TEM) studies. Whe
Externí odkaz:
https://doaj.org/article/a8f5b76d063f43cc93f5832c0c4f337e
Autor:
Huang, Siming, Cheng, Tianhao, Liu, J. K., Hao, Jiaran, Song, Liuyihan, Xu, Yang, Yang, J., Liu, J. H., Zhang, Chenchen, Chai, Linzheng, Yuan, Ruifeng, Zhang, Zhaoxiang, Fu, Jie, Liu, Qian, Zhang, Ge, Wang, Zili, Qi, Yuan, Xu, Yinghui, Chu, Wei
Large language models (LLMs) for code have become indispensable in various domains, including code generation, reasoning tasks and agent systems. While open-access code LLMs are increasingly approaching the performance levels of proprietary models, h
Externí odkaz:
http://arxiv.org/abs/2411.04905
Autor:
Sun, Xingwu, Chen, Yanfeng, Huang, Yiqing, Xie, Ruobing, Zhu, Jiaqi, Zhang, Kai, Li, Shuaipeng, Yang, Zhen, Han, Jonny, Shu, Xiaobo, Bu, Jiahao, Chen, Zhongzhi, Huang, Xuemeng, Lian, Fengzong, Yang, Saiyong, Yan, Jianfeng, Zeng, Yuyuan, Ren, Xiaoqin, Yu, Chao, Wu, Lulu, Mao, Yue, Xia, Jun, Yang, Tao, Zheng, Suncong, Wu, Kan, Jiao, Dian, Xue, Jinbao, Zhang, Xipeng, Wu, Decheng, Liu, Kai, Wu, Dengpeng, Xu, Guanghui, Chen, Shaohua, Chen, Shuang, Feng, Xiao, Hong, Yigeng, Zheng, Junqiang, Xu, Chengcheng, Li, Zongwei, Kuang, Xiong, Hu, Jianglu, Chen, Yiqi, Deng, Yuchi, Li, Guiyang, Liu, Ao, Zhang, Chenchen, Hu, Shihui, Zhao, Zilong, Wu, Zifan, Ding, Yao, Wang, Weichao, Liu, Han, Wang, Roberts, Fei, Hao, Yu, Peijie, Zhao, Ze, Cao, Xun, Wang, Hai, Xiang, Fusheng, Huang, Mengyuan, Xiong, Zhiyuan, Hu, Bin, Hou, Xuebin, Jiang, Lei, Ma, Jianqiang, Wu, Jiajia, Deng, Yaping, Shen, Yi, Wang, Qian, Liu, Weijie, Liu, Jie, Chen, Meng, Dong, Liang, Jia, Weiwen, Chen, Hu, Liu, Feifei, Yuan, Rui, Xu, Huilin, Yan, Zhenxiang, Cao, Tengfei, Hu, Zhichao, Feng, Xinhua, Du, Dong, Yu, Tinghao, Tao, Yangyu, Zhang, Feng, Zhu, Jianchen, Xu, Chengzhong, Li, Xirui, Zha, Chong, Ouyang, Wen, Xia, Yinben, Li, Xiang, He, Zekun, Chen, Rongpeng, Song, Jiawei, Chen, Ruibin, Jiang, Fan, Zhao, Chongqing, Wang, Bo, Gong, Hao, Gan, Rong, Hu, Winston, Kang, Zhanhui, Yang, Yong, Liu, Yuhong, Wang, Di, Jiang, Jie
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 billion activation parameters, capable of handling up to 256K tokens. We c
Externí odkaz:
http://arxiv.org/abs/2411.02265
Autor:
Wang, Pei, Wu, Yanan, Wang, Zekun, Liu, Jiaheng, Song, Xiaoshuai, Peng, Zhongyuan, Deng, Ken, Zhang, Chenchen, Wang, Jiakai, Peng, Junran, Zhang, Ge, Guo, Hangyu, Zhang, Zhaoxiang, Su, Wenbo, Zheng, Bo
Large Language Models (LLMs) have displayed massive improvements in reasoning and decision-making skills and can hold natural conversations with users. Recently, many tool-use benchmark datasets have been proposed. However, existing datasets have the
Externí odkaz:
http://arxiv.org/abs/2410.11710
Autor:
Liu, Jiaheng, Zhang, Chenchen, Guo, Jinyang, Zhang, Yuanxing, Que, Haoran, Deng, Ken, Bai, Zhiqi, Liu, Jie, Zhang, Ge, Wang, Jiakai, Wu, Yanan, Liu, Congnan, Su, Wenbo, Wang, Jiamang, Qu, Lin, Zheng, Bo
Despite the advanced intelligence abilities of large language models (LLMs) in various applications, they still face significant computational and storage demands. Knowledge Distillation (KD) has emerged as an effective strategy to improve the perfor
Externí odkaz:
http://arxiv.org/abs/2407.16154
Autor:
Gavin, Shawn, Zheng, Tuney, Liu, Jiaheng, Que, Quehry, Wang, Noah, Yang, Jian, Zhang, Chenchen, Huang, Wenhao, Chen, Wenhu, Zhang, Ge
The long-context capabilities of large language models (LLMs) have been a hot topic in recent years. To evaluate the performance of LLMs in different scenarios, various assessment benchmarks have emerged. However, as most of these benchmarks focus on
Externí odkaz:
http://arxiv.org/abs/2406.17588
Autor:
Wang, Leyan, Jin, Yonggang, Shen, Tianhao, Zheng, Tianyu, Du, Xinrun, Zhang, Chenchen, Huang, Wenhao, Liu, Jiaheng, Wang, Shi, Zhang, Ge, Xiang, Liuyu, He, Zhaofeng
As large language models (LLMs) continue to develop and gain widespread application, the ability of LLMs to exhibit empathy towards diverse group identities and understand their perspectives is increasingly recognized as critical. Most existing bench
Externí odkaz:
http://arxiv.org/abs/2406.14903
Autor:
Que, Haoran, Liu, Jiaheng, Zhang, Ge, Zhang, Chenchen, Qu, Xingwei, Ma, Yinghao, Duan, Feiyu, Bai, Zhiqi, Wang, Jiakai, Zhang, Yuanxing, Tan, Xu, Fu, Jie, Su, Wenbo, Wang, Jiamang, Qu, Lin, Zheng, Bo
Continual Pre-Training (CPT) on Large Language Models (LLMs) has been widely used to expand the model's fundamental understanding of specific downstream domains (e.g., math and code). For the CPT on domain-specific LLMs, one important question is how
Externí odkaz:
http://arxiv.org/abs/2406.01375
Autor:
Deng, Ken, Liu, Jiaheng, Zhu, He, Liu, Congnan, Li, Jingxin, Wang, Jiakai, Zhao, Peng, Zhang, Chenchen, Wu, Yanan, Yin, Xueqiao, Zhang, Yuanxing, Su, Wenbo, Xiang, Bangyu, Ge, Tiezheng, Zheng, Bo
Code completion models have made significant progress in recent years. Recently, repository-level code completion has drawn more attention in modern software development, and several baseline methods and benchmarks have been proposed. However, existi
Externí odkaz:
http://arxiv.org/abs/2406.01359
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Abstract The lungs and skin are important respiratory organs in Anura, but the pulmonary structure of amphibians remains unclear due to the lack of a suitable procedure. This study improved the procedure used for fixing lungs tissues and used light m
Externí odkaz:
https://doaj.org/article/4303070611cf402a822706fbb94a66e8