Zobrazeno 1 - 10
of 1 422
pro vyhledávání: '"Zhang, Zhen‐yu"'
Large language models (LLMs) have achieved impressive success in text-formatted learning problems, and most popular LLMs have been deployed in a black-box fashion. Meanwhile, fine-tuning is usually necessary for a specific downstream task to obtain b
Externí odkaz:
http://arxiv.org/abs/2410.03124
Whether the $N\bar{N}$ interaction could form a state or not is a long standing question, even before the observation of the $p\bar{p}$ threshold enhancement in 2003. The recent high statistic measurement in the $J/\psi \to \gamma 3(\pi^+\pi^-)$ chan
Externí odkaz:
http://arxiv.org/abs/2408.14876
To improve the ability of the large language model (LLMs) to tackle complex reasoning problems, chain-of-thoughts (CoT) methods were proposed to guide LLMs to reason step-by-step, enabling problem solving from simple to complex. State-of-the-art meth
Externí odkaz:
http://arxiv.org/abs/2402.06918
Dealing with distribution shifts is one of the central challenges for modern machine learning. One fundamental situation is the covariate shift, where the input distributions of data change from training to testing stages while the input-conditional
Externí odkaz:
http://arxiv.org/abs/2302.02552
Autor:
Li, Jun-Yue, Qian, Xin-Kai, Wang, Qi-Ye, Sun, Hong-Chao, Li, Xiu-Juan, Zhang, Zhen-Yu, Huang, Chao-Ran, Guo, Rui, Xiu, Fei ⁎, Liu, Ju-Qing ⁎
Publikováno v:
In Chemical Engineering Journal 15 January 2025 504
Publikováno v:
In Fuel 15 January 2025 380
Autor:
Zhang, Zhen-Yu a, Yao, Ji-Long a, Pan, Ya-Qing a, Su, Dong-Meng b, Cao, Mao-Jiong c, Gong, Xiang-Jiao a, Li, Ting a, Chen, Lei a, Xie, Tao a, ⁎
Publikováno v:
In Nano Energy January 2025 133
Autor:
Zhang, Zhen-Yu, Li, Ze-Jun, Tang, Ying-Hao, Hou, Ting-Ting, Xu, Liang, Wang, Zhao-Hui, Qin, Tian-Yi, Wang, Ya-Long, Zhu, Ming-Qiang
Publikováno v:
In Talanta 1 January 2025 281
Autor:
Zhang, Zhen-Yu, Xie, Tao
Publikováno v:
In Journal of Colloid And Interface Science January 2025 677 Part A:863-872
Abnormalities of the sewage pipe network will affect the normal operation of the whole city. Therefore, it is important to detect the abnormalities early. This paper propose an early abnormal-detection method. The abnormalities are detected by using
Externí odkaz:
http://arxiv.org/abs/2206.03321