Zobrazeno 1 - 10
of 5 401
pro vyhledávání: '"LIU Ze"'
With the development of deep learning techniques, deep recommendation models also achieve remarkable improvements in terms of recommendation accuracy. However, due to the large number of candidate items in practice and the high cost of preference com
Externí odkaz:
http://arxiv.org/abs/2408.11345
A class of $Z_{N\geq 3}$-symmetric WIMP dark matter models that are characterized by the semi-annihilation into the companion of dark matter has been proposed in Ref.~\cite{Guo:2021rre}, providing a mechanism to evade the stringent direct detection c
Externí odkaz:
http://arxiv.org/abs/2405.05694
This paper explores the application of AI and NLP techniques for user feedback analysis in the context of heavy machine crane products. By leveraging AI and NLP, organizations can gain insights into customer perceptions, improve product development,
Externí odkaz:
http://arxiv.org/abs/2405.04692
The geometric properties of parameter space are mostly described by Berry curvature and quantum metric, which is the imaginary and real part of quantum geometric tensor, respectively. In this work, we calculate the dressed Berry curvature and quantum
Externí odkaz:
http://arxiv.org/abs/2404.13275
As a prevalent and dynamically regulated epigenetic modification, 5-formylcytidine (f5C) is crucial in various biological processes. However, traditional experimental methods for f5C detection are often laborious and time-consuming, limiting their ab
Externí odkaz:
http://arxiv.org/abs/2404.13265
The widespread application of nanomaterials in polymerase chain reaction (PCR) technology has opened new avenues for improving detection methods in the biomedical field. Recent experiments (Chem. Eur. J. 2023, e202203513) have revealed oscillatory be
Externí odkaz:
http://arxiv.org/abs/2404.12153
The optical manipulation of nanoparticles on superlubricity surfaces is investigated. The research revealed that, due to the near-zero static friction and extremely low dynamic friction at superlubricity interfaces, the maximum intensity for controll
Externí odkaz:
http://arxiv.org/abs/2401.03486
Publikováno v:
Phys. Rev. Lett. 133, 090401 (2024)
The traditional dynamical phase transition refers to the appearance of singularities in an observable with respect to a control parameter for a late-time state or singularities in the rate function of the Loschmidt echo with respect to time. Here, we
Externí odkaz:
http://arxiv.org/abs/2311.16541
Autor:
Peng, Houwen, Wu, Kan, Wei, Yixuan, Zhao, Guoshuai, Yang, Yuxiang, Liu, Ze, Xiong, Yifan, Yang, Ziyue, Ni, Bolin, Hu, Jingcheng, Li, Ruihang, Zhang, Miaosen, Li, Chen, Ning, Jia, Wang, Ruizhe, Zhang, Zheng, Liu, Shuguang, Chau, Joe, Hu, Han, Cheng, Peng
In this paper, we explore FP8 low-bit data formats for efficient training of large language models (LLMs). Our key insight is that most variables, such as gradients and optimizer states, in LLM training can employ low-precision data formats without c
Externí odkaz:
http://arxiv.org/abs/2310.18313
Autor:
Liu, Ze
Text-to-Speech (TTS) synthesis using deep learning relies on voice quality. Modern TTS models are advanced, but they need large amount of data. Given the growing computational complexity of these models and the scarcity of large, high-quality dataset
Externí odkaz:
http://arxiv.org/abs/2310.04982