Zobrazeno 1 - 10
of 76 032
pro vyhledávání: '"Yang, Liu"'
In the present paper, a multi-frequency optical non-reciprocal transmission is first realized by using a non-Hermitian multi-mode resonator array.We find that the non-reciprocity can be used to route optical signals, to prevent the reverse flow of no
Externí odkaz:
http://arxiv.org/abs/2409.02000
The pursuit for "ferroelectric metal" which combines seemingly incompatible spontaneous electric polarization and metallicity, has been assiduously ongoing but remains elusive. Unlike traditional ferroelectrics with a wide band gap, ferroelectric (FE
Externí odkaz:
http://arxiv.org/abs/2408.01982
With the development of eXtended Reality (XR), head-mounted shooting and display technology have experienced significant advancement and gained considerable attention. Egocentric spatial images and videos are emerging as a compelling form of stereosc
Externí odkaz:
http://arxiv.org/abs/2407.21363
Through stacking engineering of two-dimensional (2D) materials, a switchable interface polarization can be generated through interlayer sliding, so called sliding ferroelectricity, which is advantageous over the traditional ferroelectricity due to ul
Externí odkaz:
http://arxiv.org/abs/2407.21270
Autor:
Zeng, Liang, Zhong, Liangjun, Zhao, Liang, Wei, Tianwen, Yang, Liu, He, Jujie, Cheng, Cheng, Hu, Rui, Liu, Yang, Yan, Shuicheng, Fang, Han, Zhou, Yahui
In this paper, we investigate the underlying factors that potentially enhance the mathematical reasoning capabilities of large language models (LLMs). We argue that the data scaling law for math reasoning capabilities in modern LLMs is far from being
Externí odkaz:
http://arxiv.org/abs/2407.08348
Autor:
Zhao, Liang, Wei, Tianwen, Zeng, Liang, Cheng, Cheng, Yang, Liu, Cheng, Peng, Wang, Lijie, Li, Chenxia, Wu, Xuejie, Zhu, Bo, Gan, Yimeng, Hu, Rui, Yan, Shuicheng, Fang, Han, Zhou, Yahui
We introduce LongSkywork, a long-context Large Language Model (LLM) capable of processing up to 200,000 tokens. We provide a training recipe for efficiently extending context length of LLMs. We identify that the critical element in enhancing long-con
Externí odkaz:
http://arxiv.org/abs/2406.00605
Autor:
Liu, Junde, Liu, Pei, Yang, Liu, Lee, Sung-Hoon, Pan, Mojun, Chen, Famin, Huang, Jierui, Jiang, Bei, Hu, Mingzhe, Zhang, Yuchong, Xie, Zhaoyang, Wang, Gang, Guan, Mengxue, Jiang, Wei, Yang, Huaixin, Li, Jianqi, Yun, Chenxia, Wang, Zhiwei, Meng, Sheng, Yao, Yugui, Qian, Tian, Shi, Xun
Nonvolatile optical manipulation of material properties on demand is a highly sought-after feature in the advancement of future optoelectronic applications. While the discovery of such metastable transition in various materials holds good promise for
Externí odkaz:
http://arxiv.org/abs/2405.02831
Autor:
Yang, Liu, Cai, Shuowei, Chai, Di, Zhang, Junxue, Tian, Han, Jin, Yilun, Guo, Kun, Chen, Kai, Yang, Qiang
As an essential tool of secure distributed machine learning, vertical federated learning (VFL) based on homomorphic encryption (HE) suffers from severe efficiency problems due to data inflation and time-consuming operations. To this core, we propose
Externí odkaz:
http://arxiv.org/abs/2405.00482
Autor:
Zhao, Ziqi, Ren, Zhaochun, Yang, Liu, Yuan, Fajie, Ren, Pengjie, Chen, Zhumin, Ma, jun, Xin, Xin
Offline reinforcement learning (RL) aims to learn policies from static datasets of previously collected trajectories. Existing methods for offline RL either constrain the learned policy to the support of offline data or utilize model-based virtual en
Externí odkaz:
http://arxiv.org/abs/2404.10393
Radio Frequency Fingerprint Identification (RFFI), which exploits non-ideal hardware-induced unique distortion resident in the transmit signals to identify an emitter, is emerging as a means to enhance the security of communication systems. Recently,
Externí odkaz:
http://arxiv.org/abs/2404.08566