Výsledky vyhledávání - "Zhou, ZhengHao"

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Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks

Autor: Smolensky, Paul, Fernandez, Roland, Zhou, Zhenghao Herbert, Opper, Mattia, Gao, Jianfeng

Large Language Models (LLMs) have demonstrated impressive abilities in symbol processing through in-context learning (ICL). This success flies in the face of decades of predictions that artificial neural networks cannot master abstract symbol manipul

Externí odkaz: http://arxiv.org/abs/2410.17498

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A White-Box Deep-Learning Method for Electrical Energy System Modeling Based on Kolmogorov-Arnold Network

Autor: Zhou, Zhenghao, Li, Yiyan, Guo, Zelin, Yan, Zheng, Chow, Mo-Yuen

Deep learning methods have been widely used as an end-to-end modeling strategy of electrical energy systems because of their conveniency and powerful pattern recognition capability. However, due to the "black-box" nature, deep learning methods have l

Externí odkaz: http://arxiv.org/abs/2409.08044

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Unsupervised and Interpretable Synthesizing for Electrical Time Series Based on Information Maximizing Generative Adversarial Nets

Autor: Zhou, Zhenghao, Li, Yiyan, Liu, Runlong, Yan, Zheng, Chow, Mo-Yuen

Generating synthetic data has become a popular alternative solution to deal with the difficulties in accessing and sharing field measurement data in power systems. However, to make the generation results controllable, existing methods (e.g. Condition

Externí odkaz: http://arxiv.org/abs/2407.13691

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Is In-Context Learning a Type of Gradient-Based Learning? Evidence from the Inverse Frequency Effect in Structural Priming

Autor: Zhou, Zhenghao, Frank, Robert, McCoy, R. Thomas

Large language models (LLMs) have shown the emergent capability of in-context learning (ICL). One line of research has explained ICL as functionally performing gradient descent. In this paper, we introduce a new way of diagnosing whether ICL is funct

Externí odkaz: http://arxiv.org/abs/2406.18501

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Akademický článek

Preparation of cool composite pigment by the layer-by-layer assembling of phthalocyanine green on the surface of rutile TiO2

Autor: Cao, Lingyun, Ren, Shuaibin, Zhou, ZhengHao, Fei, Xuening, Huang, Changliang

Publikováno v: Pigment & Resin Technology, 2023, Vol. 53, Issue 6, pp. 816-823.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/PRT-03-2023-0027

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Akademický článek

Synergistic therapy for melanoma via bioactive compounds derived metal-phenolic networks

Autor: Zhou, Zhenghao, Li, Cong, Cui, Shuai, Sun, Shian, Zhu, Shaowei, Yu, Qing, Ding, Ning, Hong, Hao, Yang, Dongzhi

Publikováno v: In Chemical Engineering Journal 15 May 2024 488

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Akademický článek

Research on an intelligent game simulation system based on road network

Autor: Wang Xin, Liu Laikai, Zhou Zhenghao, Qi Xiangwei

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 7, Iss 2, Pp 1181-1192 (2022)

In recent years, with the continuous improvement of science and technology and the growing demand for public security, the site selection of security resources is gradually becoming one of the hot research topics in the field of public security gover

Externí odkaz: https://doaj.org/article/dfb2ed4f31be4ed5af6c086dd5339ba8

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