Zobrazeno 1 - 10
of 591
pro vyhledávání: '"Wang YiKun"'
Publikováno v:
Polish Maritime Research, Vol 29, Iss 2, Pp 43-54 (2022)
The dynamics of the installation process of marine risers subjected to shoal/deep seawater is studied. The riser is assumed to be a cantilevered Euler‒Bernoulli beam. The upper end of the riser is clamped on the vessel or the drilling platform. The
Externí odkaz:
https://doaj.org/article/0980fcfd80ec4433aa9db3671db5d4fc
We develop a general framework for calculating the leading-order, fully-relativistic contributions to the gravitational phase shift in single-photon atom interferometers within the context of linearized gravity. We show that the atom gradiometer obse
Externí odkaz:
http://arxiv.org/abs/2409.03828
As instruction-tuned large language models (LLMs) evolve, aligning pretrained foundation models presents increasing challenges. Existing alignment strategies, which typically leverage diverse and high-quality data sources, often overlook the intrinsi
Externí odkaz:
http://arxiv.org/abs/2406.04854
Autor:
Duan, Cenlin, Yang, Jianlei, Wang, Yiou, Wang, Yikun, Qi, Yingjie, He, Xiaolin, Yan, Bonan, Wang, Xueyan, Jia, Xiaotao, Zhao, Weisheng
Bit-level sparsity in neural network models harbors immense untapped potential. Eliminating redundant calculations of randomly distributed zero-bits significantly boosts computational efficiency. Yet, traditional digital SRAM-PIM architecture, limite
Externí odkaz:
http://arxiv.org/abs/2404.09497
Despite the impressive capabilities of large language models (LLMs), their performance on information extraction tasks is still not entirely satisfactory. However, their remarkable rewriting capabilities and extensive world knowledge offer valuable i
Externí odkaz:
http://arxiv.org/abs/2402.14568
Customizing LLMs for a specific task involves separating high-quality responses from lower-quality ones. This skill can be developed using supervised fine-tuning with extensive human preference data. However, obtaining a large volume of expert-annota
Externí odkaz:
http://arxiv.org/abs/2311.09136
Autor:
Duan, Cenlin, Yang, Jianlei, He, Xiaolin, Qi, Yingjie, Wang, Yikun, Wang, Yiou, He, Ziyan, Yan, Bonan, Wang, Xueyan, Jia, Xiaotao, Pan, Weitao, Zhao, Weisheng
Processing-in-memory (PIM), as a novel computing paradigm, provides significant performance benefits from the aspect of effective data movement reduction. SRAM-based PIM has been demonstrated as one of the most promising candidates due to its enduran
Externí odkaz:
http://arxiv.org/abs/2310.20424
Atom and matter interferometers are precise quantum sensing experiments that can probe differential forces along separated spacetime paths. Various atom and matter interferometer experiments have been proposed to study dark matter, gravitational wave
Externí odkaz:
http://arxiv.org/abs/2308.02634
Publikováno v:
Phys. Rev. D 108, 122003 (2023)
We study signatures of macroscopic dark matter (DM) in current and future gravitational wave (GW) experiments. Transiting DM with a mass of $\sim10^5-10^{15}$ kg that saturates the local DM density can be potentially detectable by GW detectors, depen
Externí odkaz:
http://arxiv.org/abs/2306.13122
We propose a novel technique to search for axions with an optomechanical cavity filled with a material such as superfluid helium. Axion absorption converts a pump laser photon to a photon plus a phonon. The axion absorption rate is enhanced by the hi
Externí odkaz:
http://arxiv.org/abs/2211.08432