Zobrazeno 1 - 10
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pro vyhledávání: '"Xiong, P."'
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:
Huang, Yiming, Xiao, Jingyu, Tao, Lian, Zhang, Shuang-Nan, Yin, Qian-Qing, Wang, Yusa, Zhao, Zijian, Zhang, Chen, Zhao, Qingchang, Ma, Xiang, Zhao, Shujie, Zhou, Heng, Wen, Xiangyang, Li, Zhengwei, Xiong, Shaolin, Zhang, Juan, Bu, Qingcui, Cang, Jirong, Cao, Dezhi, Chen, Wen, Ding, Siran, Dai, Yanfeng, Gao, Min, Gao, Yang, He, Huilin, Hou, Shujin, Hou, Dongjie, Hu, Tai, Huang, Guoli, Huang, Yue, Jia, Liping, Jin, Ge, Li, Dalin, Li, Jinsong, Li, Panping, Li, Yajun, Liu, Xiaojing, Ma, Ruican, Men, Lingling, Pan, Xingyu, Qi, Liqiang, Song, Liming, Sun, Xianfei, Tang, Qingwen, Xiong, Liyuan, Xu, Yibo, Yang, Sheng, Yang, Yanji, Yang, Yong, Zhang, Aimei, Zhang, Wei, Zhang, Yifan, Zhang, Yueting, Zhao, Donghua, Zhao, Kang, Zhu, Yuxuan
The Chasing All Transients Constellation Hunters (CATCH) space mission is focused on exploring the dynamic universe via X-ray follow-up observations of various transients. The first pathfinder of the CATCH mission, CATCH-1, was launched on June 22, 2
Externí odkaz:
http://arxiv.org/abs/2410.17833
Despite the remarkable success of Large Language Models (LLMs), evaluating their outputs' quality regarding preference remains a critical challenge. Existing works usually leverage a powerful LLM (e.g., GPT4) as the judge for comparing LLMs' output p
Externí odkaz:
http://arxiv.org/abs/2410.12869
Autor:
Yan, Yibo, Wang, Shen, Huo, Jiahao, Li, Hang, Li, Boyan, Su, Jiamin, Gao, Xiong, Zhang, Yi-Fan, Xu, Tianlong, Chu, Zhendong, Zhong, Aoxiao, Wang, Kun, Xiong, Hui, Yu, Philip S., Hu, Xuming, Wen, Qingsong
As the field of Multimodal Large Language Models (MLLMs) continues to evolve, their potential to revolutionize artificial intelligence is particularly promising, especially in addressing mathematical reasoning tasks. Current mathematical benchmarks p
Externí odkaz:
http://arxiv.org/abs/2410.04509
Recent studies in text-to-image customization show great success in generating personalized object variants given several images of a subject. While existing methods focus more on preserving the identity of the subject, they often fall short of contr
Externí odkaz:
http://arxiv.org/abs/2409.08520
Autor:
Liu, Hao, He, Yutong, Xiong, Bing, Sun, Changzheng, Hao, Zhibiao, Wang, Lai, Wang, Jian, Han, Yanjun, Li, Hongtao, Gan, Lin, Luo, Yi
High-performance electro-optic modulators play a critical role in modern telecommunication networks and intra-datacenter interconnects. Low driving voltage, large electro-optic bandwidth, compact device size, and multi-band operation ability are esse
Externí odkaz:
http://arxiv.org/abs/2411.15037
Federated reinforcement learning (FedRL) enables multiple agents to collaboratively learn a policy without sharing their local trajectories collected during agent-environment interactions. However, in practice, the environments faced by different age
Externí odkaz:
http://arxiv.org/abs/2411.15014
Autor:
Guo, Zhengrui, Xiong, Conghao, Ma, Jiabo, Sun, Qichen, Feng, Lishuang, Wang, Jinzhuo, Chen, Hao
Few-shot learning presents a critical solution for cancer diagnosis in computational pathology (CPath), addressing fundamental limitations in data availability, particularly the scarcity of expert annotations and patient privacy constraints. A key ch
Externí odkaz:
http://arxiv.org/abs/2411.14743
Autor:
Yang, Xue, Zhou, Rigui, Jia, ShiZheng, Li, YaoChong, Yan, Jicheng, Long, ZhengYu, Guo, Wenyu, Xiong, Fuhui, Xu, Wenshan
Leveraging quantum computing's intrinsic properties to enhance machine learning has shown promise, with quantum generative adversarial networks (QGANs) demonstrating benefits in data generation. However, the application of QGANs to complex unsupervis
Externí odkaz:
http://arxiv.org/abs/2411.13920
We investigate the effect of counter-rotating-wave terms on bell nonlocality (BN) and entanglement for three qubits coupled with a Lorentz-broadened cavity mode at zero temperature for strong and ultrastrong coupling regimes by employing exact numeri
Externí odkaz:
http://arxiv.org/abs/2411.13905