Zobrazeno 1 - 10
of 1 067
pro vyhledávání: '"Zhang Yi-fan"'
Autor:
HU Yun, JIANG Peng-li, WANG Xin-xin, YANG Jie, ZHANG Yi-fan, LI Liang, LIU Zhen-dong, LUO Zhang
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 6, Pp 180-188 (2024)
Tsampa, as an essential traditional food in Tibet, demands strict quality and safety assurances during its industrial production process. In order to ensure the food safety of the public, it is urgent to establish a comprehensive quality and safety c
Externí odkaz:
https://doaj.org/article/13a801bc7a32442da16a9319e48458fd
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 23, Iss 12, Pp 1120-1128 (2023)
Objective To summarize the clinical and EEG characteristics of anti ⁃ leucine ⁃ rich glioma⁃inactivated 1 (LGI1) antibody⁃associated encephalitis. Methods and Results The clinical data and EEG characteristics of 27 patients diagnosed with ant
Externí odkaz:
https://doaj.org/article/93366a0469a443e79ca3c88c3f36fee3
Autor:
Fu, Chaoyou, Zhang, Yi-Fan, Yin, Shukang, Li, Bo, Fang, Xinyu, Zhao, Sirui, Duan, Haodong, Sun, Xing, Liu, Ziwei, Wang, Liang, Shan, Caifeng, He, Ran
As a prominent direction of Artificial General Intelligence (AGI), Multimodal Large Language Models (MLLMs) have garnered increased attention from both industry and academia. Building upon pre-trained LLMs, this family of models further develops mult
Externí odkaz:
http://arxiv.org/abs/2411.15296
The electron dynamics and SiO2 etching profile evolution in capacitively coupled Ar/CHF3 plasmas driven by sawtooth-waveforms are investigated based on a one-dimensional fluid/Monte-Carlo (MC) model coupled with an etching profile evolution model. Th
Externí odkaz:
http://arxiv.org/abs/2411.07839
Autor:
Yan, Yibo, Wang, Shen, Huo, Jiahao, Li, Hang, Li, Boyan, Su, Jiamin, Gao, Xiong, Zhang, Yi-Fan, Xu, Tianlong, Chu, Zhendong, Zhong, Aoxiao, Wang, Kun, Xiong, Hui, Yu, Philip S., Hu, Xuming, Wen, Qingsong
As the field of Multimodal Large Language Models (MLLMs) continues to evolve, their potential to revolutionize artificial intelligence is particularly promising, especially in addressing mathematical reasoning tasks. Current mathematical benchmarks p
Externí odkaz:
http://arxiv.org/abs/2410.04509
Students frequently make mistakes while solving mathematical problems, and traditional error correction methods are both time-consuming and labor-intensive. This paper introduces an innovative \textbf{V}irtual \textbf{A}I \textbf{T}eacher system desi
Externí odkaz:
http://arxiv.org/abs/2409.09403
Unsupervised domain adaptation (UDA) of time series aims to teach models to identify consistent patterns across various temporal scenarios, disregarding domain-specific differences, which can maintain their predictive accuracy and effectively adapt t
Externí odkaz:
http://arxiv.org/abs/2409.12169
Autor:
Zhang, Yi-Fan, Zhang, Huanyu, Tian, Haochen, Fu, Chaoyou, Zhang, Shuangqing, Wu, Junfei, Li, Feng, Wang, Kun, Wen, Qingsong, Zhang, Zhang, Wang, Liang, Jin, Rong, Tan, Tieniu
Comprehensive evaluation of Multimodal Large Language Models (MLLMs) has recently garnered widespread attention in the research community. However, we observe that existing benchmarks present several common barriers that make it difficult to measure
Externí odkaz:
http://arxiv.org/abs/2408.13257
Publikováno v:
Phys. Rev. A 110, 052613 (2024)
Quantum digital signatures (QDSs), which utilize correlated bit strings among sender and recipients, guarantee the authenticity, integrity, and nonrepudiation of classical messages based on quantum laws. Continuous-variable (CV) quantum protocol with
Externí odkaz:
http://arxiv.org/abs/2407.03609
Seeing clearly with high resolution is a foundation of Large Multimodal Models (LMMs), which has been proven to be vital for visual perception and reasoning. Existing works usually employ a straightforward resolution upscaling method, where the image
Externí odkaz:
http://arxiv.org/abs/2406.08487