Zobrazeno 1 - 10
of 5 254
pro vyhledávání: '"Du, Peng"'
Nowadays, large language models (LLMs) are published as a service and can be accessed by various applications via APIs, also known as language-model-as-a-service (LMaaS). Without knowing the generation length of requests, existing serving systems ser
Externí odkaz:
http://arxiv.org/abs/2406.04785
From $\sim$ 5000 deg$^{2}$ of the combination of the Beijing-Arizona Sky Survey (BASS) and Mayall $z$-band Legacy Survey (MzLS) which is also the northern sky region of the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys, we select
Externí odkaz:
http://arxiv.org/abs/2404.18408
Autor:
Zhao, Yao, Wu, Tao, Zhu, Yijie, Lu, Xiang, Wang, Jun, Bou-Ammar, Haitham, Zhang, Xinyu, Du, Peng
We present ZSL-RPPO, an improved zero-shot learning architecture that overcomes the limitations of teacher-student neural networks and enables generating robust, reliable, and versatile locomotion for quadrupedal robots in challenging terrains. We pr
Externí odkaz:
http://arxiv.org/abs/2403.01928
Face images contain a wide variety of attribute information. In this paper, we propose a generalized framework for joint estimation of ordinal and nominal attributes based on information sharing. We tackle the correlation problem between heterogeneou
Externí odkaz:
http://arxiv.org/abs/2403.00561
Autor:
Borisyuk, Fedor, He, Shihai, Ouyang, Yunbo, Ramezani, Morteza, Du, Peng, Hou, Xiaochen, Jiang, Chengming, Pasumarthy, Nitin, Bannur, Priya, Tiwana, Birjodh, Liu, Ping, Dangi, Siddharth, Sun, Daqi, Pei, Zhoutao, Shi, Xiao, Zhu, Sirou, Shen, Qianqi, Lee, Kuang-Hsuan, Stein, David, Li, Baolei, Wei, Haichao, Ghoting, Amol, Ghosh, Souvik
In this paper, we present LiGNN, a deployed large-scale Graph Neural Networks (GNNs) Framework. We share our insight on developing and deployment of GNNs at large scale at LinkedIn. We present a set of algorithmic improvements to the quality of GNN r
Externí odkaz:
http://arxiv.org/abs/2402.11139
Publikováno v:
Physical Review C 109, 044325 (2024)
The back-shifted Fermi gas model is widely employed for calculating nuclear level density (NLD) as it can effectively reproduce experimental data by adjusting parameters. However, selecting parameters for nuclei lacking experimental data poses a chal
Externí odkaz:
http://arxiv.org/abs/2401.05622
Publikováno v:
Physical Review A 107, 053315 (2023)
Benchmarking a high-precision quantum operation is a big challenge for many quantum systems in the presence of various noises as well as control errors. Here we propose an $O(1)$ benchmarking of a dynamically corrected rotation by taking the quantum
Externí odkaz:
http://arxiv.org/abs/2310.15473
Autor:
Du, Peng, Vishik, Alexander
We introduce the Morava-isotropic stable homotopy category and, more generally, the stable homotopy category of an extension $E/k$. These "local" versions of the Morel-Voevodsky stable ${\Bbb{A}}^1$-homotopy category $SH(k)$ are analogues of local mo
Externí odkaz:
http://arxiv.org/abs/2309.09077