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Neuron-based Personality Trait Induction in Large Language Models

Autor: Deng, Jia, Tang, Tianyi, Yin, Yanbin, Yang, Wenhao, Zhao, Wayne Xin, Wen, Ji-Rong

Large language models (LLMs) have become increasingly proficient at simulating various personality traits, an important capability for supporting related applications (e.g., role-playing). To further improve this capacity, in this paper, we present a

Externí odkaz: http://arxiv.org/abs/2410.12327

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Akademický článek

Numerical Simulation of Inclusion Capture in the Slab Continuous Casting Considering the Influence of the Primary Dendrite Arm Spacing

Autor: Yin Yanbin, Zhang Jiongming, Lei Shaowu, Wang Zhitong

Publikováno v: High Temperature Materials and Processes, Vol 37, Iss 4, Pp 375-386 (2018)

In the present work, a coupled three-dimensional numerical model of fluid flow, heat transfer, and inclusion motion during the solidification of molten steel in slab continuous casting mold has been developed. Based on the model, this paper has studi

Externí odkaz: https://doaj.org/article/4060476485834fecb3f80246c26cd1d1

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A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks

Autor: Piyush, Ved, Yan, Yuchen, Zhou, Yuzhen, Yin, Yanbin, Ghosh, Souparno

Deep Learners (DLs) are the state-of-art predictive mechanism with applications in many fields requiring complex high dimensional data processing. Although conventional DLs get trained via gradient descent with back-propagation, Kalman Filter (KF)-ba

Externí odkaz: http://arxiv.org/abs/2307.10436

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