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检索条件"机构=The Key Laboratory of Cognitive Computing and Intelligent Information Processing"
2411 条 记 录,以下是281-290 订阅
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Integrating Multi-scale Contextualized information for Byte-based Neural Machine Translation
arXiv
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arXiv 2024年
作者: Huang, Langlin Feng, Yang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Key Laboratory of AI Safety Chinese Academy of Sciences China University of Chinese Academy of Sciences China
Subword tokenization is a common method for vocabulary building in Neural Machine Translation (NMT) models. However, increasingly complex tasks have revealed its disadvantages. First, a vocabulary cannot be modified o... 详细信息
来源: 评论
Multi Strategy Improvement of Newton-Raphson-Based Optimizer and Engineering Application
Multi Strategy Improvement of Newton-Raphson-Based Optimizer...
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International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)
作者: Shaogang Cheng Jun Yin Tingting Liu College of Computing Qinghai Normal University Xining China The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University Xining China
A multi strategy improved Newton- Raphson-Based Optimizer (NRBO) is proposed to address the problem of slow convergence speed in the later stage of algorithm iteration and difficulty in finding the global optimal solu... 详细信息
来源: 评论
Linear Precoding for Faster-Than-Nyquist Signaling with Imperfect Channel State information
Linear Precoding for Faster-Than-Nyquist Signaling with Impe...
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International Conference on Wireless Communications and Signal processing (WCSP)
作者: Yan Wang Qiang Li Yingsong Li Liping Li Xingwang Li Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China School of Physics and Electronic Information Engineering Henan Polytechnic University China
In faster-than-Nyquist (FTN) transmission over frequency-selective fading channels, it is essential to eliminate both FTN-induced intersymbol-interference (ISI) (FTN-ISI) and channel-induced ISI (channel-ISI). Althoug... 详细信息
来源: 评论
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual information  48
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutua...
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48th IEEE International Conference on Acoustics, Speech and Signal processing, ICASSP 2023
作者: Li, Jicun Li, Xingjian Wang, Tianyang Wang, Shi Cao, Yanan Xu, Chengzhong Dou, Dejing Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Big Data Lab Baidu Research China University of Alabama Birmingham United States Institute of Information Engineering Chinese Academy of Sciences China State Key Lab of Iotsc University of Macau China
Fine-tuning pre-trained language models, such as BERT, has shown enormous success among various NLP tasks. Though simple and effective, the process of fine-tuning has been found unstable, which often leads to unexpect... 详细信息
来源: 评论
A Hybrid Iterative Neural Solver Based on Spectral Analysis for Parametric PDEs
arXiv
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arXiv 2024年
作者: Cui, Chen Jiang, Kai Liu, Yun Shu, Shi Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
Recently, deep learning-based hybrid iterative methods (DL-HIM) have emerged as a promising approach for designing fast neural solvers to tackle large-scale sparse linear systems. DL-HIM combine the smoothing effect o... 详细信息
来源: 评论
Enhancing Neural Machine Translation with Semantic Units
arXiv
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arXiv 2023年
作者: Huang, Langlin Gu, Shuhao Zhang, Zhuocheng Feng, Yang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences China
Conventional neural machine translation (NMT) models typically use subwords and words as the basic units for model input and comprehension. However, complete words and phrases composed of several tokens are often the ... 详细信息
来源: 评论
Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers
arXiv
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arXiv 2024年
作者: Wang, Zhen Liu, Yun Cui, Chen Shu, Shi Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
Recently, designing neural solvers for large-scale linear systems of equations has emerged as a promising approach in scientific and engineering computing. This paper first introduce the Richardson(m) neural solver by... 详细信息
来源: 评论
Improved Coded Caching Scheme for Multi-User information Retrieval System
arXiv
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arXiv 2025年
作者: Wang, Junyi Zang, Quan Wang, Jinyu Cheng, Minquan The Key Laboratory of Cognitive Radio and Information Processing Ministry of Education Guilin University of Electronic Technology Guilin541004 China The Key Laboratory of Education Blockchain and Intelligent Technology Ministry of Education The Guangxi Key Laboratory of Multi-Source Information Mining and Security Guangxi Normal University Guilin541004 China
In this paper, we study the coded caching scheme for the (L, K, M, N) multi-user information retrieval (MIR) system, which consists of a content library containing N files, a base station (BS) with L antennas that can... 详细信息
来源: 评论
Conservative nonconforming virtual element method for stationary incompressible magnetohydrodynamics
arXiv
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arXiv 2024年
作者: Dong, Xiaojing Huang, Yunqing Wang, Tianwen Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
In this paper, we propose a conservative nonconforming virtual element method for the full stationary incompressible magnetohydrodynamics model. We leverage the virtual element satisfactory divergence-free property to... 详细信息
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A virtual element method with IMEX-SAV scheme for the incompressible magnetohydrodynamics equations
arXiv
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arXiv 2024年
作者: Dong, Xiaojing Huang, Yunqing Wang, Tianwen Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
This paper proposes a virtual element method (VEM) combined with a second-order implicit-explicit scheme based on the scalar auxiliary variable (SAV) method for the incompressible magnetohydrodynamics (MHD) equations.... 详细信息
来源: 评论