Zobrazeno 1 - 10
of 1 053
pro vyhledávání: '"WANG Yiding"'
Existing task-oriented AI agents often depend on explicit instructions or external rewards, limiting their ability to be driven by intrinsic motivations like humans. In this paper, we present a desire-driven autonomy framework to guide a Large Langua
Externí odkaz:
http://arxiv.org/abs/2412.06435
Large language models (LLMs) have made remarkable advances in recent years, with scaling laws playing a critical role in this rapid progress. In this paper, we empirically investigate how a critical hyper-parameter, i.e., the global batch size, influ
Externí odkaz:
http://arxiv.org/abs/2412.01505
Compared to the ferromagnetic materials that realize the anomalous valley Hall effect by breaking time-reversal symmetry and spin-orbit coupling, the antiferromagnetic materials with the joint spatial inversion and time-reversal (PT) symmetry are rar
Externí odkaz:
http://arxiv.org/abs/2411.06682
The study employed MD simulations to investigate the interactions between a <110> super-edge dislocation, consisting of the four Shockley partials, and interstitial dislocation loops (IDLs) in irradiated L12-Ni3Al. Accounting for symmetry breakage in
Externí odkaz:
http://arxiv.org/abs/2409.18018
Publikováno v:
J. Phys. A: Math. Theor. 57 (2024) 205301
Quantum entanglement plays a key role in quantum computation and quantum information processing. It is of great significance to find efficient and experimentally friend separability criteria to detect entanglement. In this paper, we firstly propose t
Externí odkaz:
http://arxiv.org/abs/2405.04754
The human brain is naturally equipped to comprehend and interpret visual information rapidly. When confronted with complex problems or concepts, we use flowcharts, sketches, and diagrams to aid our thought process. Leveraging this inherent ability ca
Externí odkaz:
http://arxiv.org/abs/2311.09241
Autor:
Yang, Aiyuan, Xiao, Bin, Wang, Bingning, Zhang, Borong, Bian, Ce, Yin, Chao, Lv, Chenxu, Pan, Da, Wang, Dian, Yan, Dong, Yang, Fan, Deng, Fei, Wang, Feng, Liu, Feng, Ai, Guangwei, Dong, Guosheng, Zhao, Haizhou, Xu, Hang, Sun, Haoze, Zhang, Hongda, Liu, Hui, Ji, Jiaming, Xie, Jian, Dai, JunTao, Fang, Kun, Su, Lei, Song, Liang, Liu, Lifeng, Ru, Liyun, Ma, Luyao, Wang, Mang, Liu, Mickel, Lin, MingAn, Nie, Nuolan, Guo, Peidong, Sun, Ruiyang, Zhang, Tao, Li, Tianpeng, Li, Tianyu, Cheng, Wei, Chen, Weipeng, Zeng, Xiangrong, Wang, Xiaochuan, Chen, Xiaoxi, Men, Xin, Yu, Xin, Pan, Xuehai, Shen, Yanjun, Wang, Yiding, Li, Yiyu, Jiang, Youxin, Gao, Yuchen, Zhang, Yupeng, Zhou, Zenan, Wu, Zhiying
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering. However, most powerful LL
Externí odkaz:
http://arxiv.org/abs/2309.10305
The selection of Gaussian kernel parameters plays an important role in the applications of support vector classification (SVC). A commonly used method is the k-fold cross validation with grid search (CV), which is extremely time-consuming because it
Externí odkaz:
http://arxiv.org/abs/2307.07343
Publikováno v:
Nanoscale Research Letters, Vol 5, Iss 8, Pp 1279-1283 (2010)
Abstract PbSe/CdSe core/shell nanocrystals with quantum yield of 70% were obtained by the “successive ion layer adsorption and reaction” technology in solution. The thickness of the CdSe shell was exactly controlled. A series of spectral red shif
Externí odkaz:
https://doaj.org/article/eb47acd30a804332947b7d7833b8439d
Autor:
Wang, Yiding1,2 (AUTHOR) gyli@yzu.edu.cn, Li, Guangyan2,3 (AUTHOR) majiaying1108@163.com, Ma, Jiaying2 (AUTHOR) fuwmeng@163.com, Su, Haoran1,2 (AUTHOR) suhaoran0412@163.com, Hu, Wenfei1,2 (AUTHOR) 15593823808@163.com, Lin, Junjiang1,2 (AUTHOR) 18022557884@163.com, Fu, Weimeng2 (AUTHOR), Zeng, Yvxiang2 (AUTHOR), Tao, Longxing2 (AUTHOR), Fu, Guanfu2 (AUTHOR), Xiong, Jie1 (AUTHOR) jiexiong@zju.edu.cn, Chen, Tingting2 (AUTHOR) jiexiong@zju.edu.cn
Publikováno v:
International Journal of Molecular Sciences. Dec2024, Vol. 25 Issue 23, p12751. 17p.