Zobrazeno 1 - 10
of 10 932
pro vyhledávání: '"ZHANG, Pei"'
In this study, we investigate the dynamics of system composed of a single cavity consisting of an optical parametric amplifier (OPA) and a YIG sphere influenced by a bias magnetic field. This bias field leads to magnetostrictive effects on magnon mod
Externí odkaz:
http://arxiv.org/abs/2411.19775
Autor:
Liu, Yikang, Shen, Yeting, Zhu, Hongao, Xu, Lilong, Qian, Zhiheng, Song, Siyuan, Zhang, Kejia, Tang, Jialong, Zhang, Pei, Yang, Baosong, Wang, Rui, Hu, Hai
Whether and how language models (LMs) acquire the syntax of natural languages has been widely evaluated under the minimal pair paradigm. However, a lack of wide-coverage benchmarks in languages other than English has constrained systematic investigat
Externí odkaz:
http://arxiv.org/abs/2411.06096
Autor:
Zhang, Pei, Wang, Yanli
We consider the neural representation to solve the Boltzmann-BGK equation, especially focusing on the application in microscopic flow problems. A new dimension reduction model of the BGK equation with the flexible auxiliary distribution functions is
Externí odkaz:
http://arxiv.org/abs/2410.21935
LLM self-evaluation relies on the LLM's own ability to estimate response correctness, which can greatly improve its deployment reliability. In this research track, we propose the Chain-of-Embedding (CoE) in the latent space to enable LLMs to perform
Externí odkaz:
http://arxiv.org/abs/2410.13640
Achieving consistent high-quality machine translation (MT) across diverse domains remains a significant challenge, primarily due to the limited and imbalanced parallel training data available in various domains. While large language models (LLMs) hav
Externí odkaz:
http://arxiv.org/abs/2410.02631
Autor:
Qi, Xiao-Qiu, Zhang, Pei-Pei, Yan, Zong-Chao, Tang, Li-Yan, Chen, Ai-Xi, Shi, Ting-Yun, Zhong, Zhen-Xiang
The significant discrepancy in the difference of squared nuclear charge radii $\Delta R^2$ of $^{3,4}$He obtained from electronic-atom or muonic-atom energy levels is a puzzle. In this paper, we show that the tension is resolved by including off-diag
Externí odkaz:
http://arxiv.org/abs/2409.09279
Autor:
Liu, Wenzhang, Abbas, Muqaddar, Asadpour, Seyyed Hossein, Hamedi, Hamid R., Zhang, Pei, Sanders, Barry C.
We investigate the phenomenon of magnomechanically induced grating (MMIG) within a cavity magnomechanical system, comprising magnons (spins in a ferromagnet, such as yttrium iron garnet), cavity microwave photons, and phonons [\textit{J. Li, S.-Y. Zh
Externí odkaz:
http://arxiv.org/abs/2408.17327
Mammals can generate autonomous behaviors in various complex environments through the coordination and interaction of activities at different levels of their central nervous system. In this paper, we propose a novel hierarchical learning control fram
Externí odkaz:
http://arxiv.org/abs/2408.03525
Recognizing unauthorized Unmanned Aerial Vehicles (UAVs) within designated no-fly zones throughout the day and night is of paramount importance, where the unauthorized UAVs pose a substantial threat to both civil and military aviation safety. However
Externí odkaz:
http://arxiv.org/abs/2407.12647
Autor:
Yang, An, Yang, Baosong, Hui, Binyuan, Zheng, Bo, Yu, Bowen, Zhou, Chang, Li, Chengpeng, Li, Chengyuan, Liu, Dayiheng, Huang, Fei, Dong, Guanting, Wei, Haoran, Lin, Huan, Tang, Jialong, Wang, Jialin, Yang, Jian, Tu, Jianhong, Zhang, Jianwei, Ma, Jianxin, Yang, Jianxin, Xu, Jin, Zhou, Jingren, Bai, Jinze, He, Jinzheng, Lin, Junyang, Dang, Kai, Lu, Keming, Chen, Keqin, Yang, Kexin, Li, Mei, Xue, Mingfeng, Ni, Na, Zhang, Pei, Wang, Peng, Peng, Ru, Men, Rui, Gao, Ruize, Lin, Runji, Wang, Shijie, Bai, Shuai, Tan, Sinan, Zhu, Tianhang, Li, Tianhao, Liu, Tianyu, Ge, Wenbin, Deng, Xiaodong, Zhou, Xiaohuan, Ren, Xingzhang, Zhang, Xinyu, Wei, Xipin, Ren, Xuancheng, Liu, Xuejing, Fan, Yang, Yao, Yang, Zhang, Yichang, Wan, Yu, Chu, Yunfei, Liu, Yuqiong, Cui, Zeyu, Zhang, Zhenru, Guo, Zhifang, Fan, Zhihao
This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models. We release a comprehensive suite of foundational and instruction-tuned language models, encompassing a parameter range from 0.5 to
Externí odkaz:
http://arxiv.org/abs/2407.10671