Zobrazeno 1 - 10
of 112 468
pro vyhledávání: '"Li , Jing"'
Autor:
Ji, Liang-Wen, Yang, Wu-Zhang, Lu, Yi-Ming, Lu, Jia-Yi, Li, Jing, Liu, Yi, Ren, Zhi, Cao, Guang-Han
Publikováno v:
Phys. Rev. B 110, 205138 (2024)
We report Ni-doping effect on the magnetic and electronic properties of thiospinel Co$_{1-x}$Ni$_x$[Co$_{0.3}$Ir$_{1.7}$]S$_4$ (0 $\leq x \leq$ 1). The parent compound Co[Co$_{0.3}$Ir$_{1.7}$]S$_4$ exhibits antiferromagnetic order below $T_\mathrm{N}
Externí odkaz:
http://arxiv.org/abs/2412.02213
Detecting euphemisms is essential for content security on various social media platforms, but existing methods designed for detecting euphemisms are ineffective in impromptu euphemisms. In this work, we make a first attempt to an exploration of impro
Externí odkaz:
http://arxiv.org/abs/2412.01413
The rapid advancements in machine learning have made its application to anomalous diffusion analysis both essential and inevitable. This review systematically introduces the integration of machine learning techniques for enhanced analysis of anomalou
Externí odkaz:
http://arxiv.org/abs/2412.01393
Autor:
Wang, Cong, Yang, Weizhe, Wang, Haiping, Yang, Renjie, Li, Jing, Wang, Zhijun, Yu, Xinyao, Wei, Yixiong, Huang, Xianli, Liu, Zhaoyang, Zou, Changqing, Zhao, Zhifeng
This paper introduces a Physics-Informed model architecture that can be adapted to various backbone networks. The model incorporates physical information as additional input and is constrained by a Physics-Informed loss function. Experimental results
Externí odkaz:
http://arxiv.org/abs/2412.00087
Publikováno v:
In Proceedings of the 32nd ACM International Conference on Multimedia, pp. 4757-4765 (2024, October)
Industrial parks are critical to urban economic growth. Yet, their development often encounters challenges stemming from imbalances between industrial requirements and urban services, underscoring the need for strategic planning and operations. This
Externí odkaz:
http://arxiv.org/abs/2411.15758
We theoretically investigate the spin structure of weakly bound diatomic van der Waals molecules formed by two identical bosonic alkali atoms. Our studies were performed using known Born-Oppenheimer potentials while developing a reduced interaction p
Externí odkaz:
http://arxiv.org/abs/2411.14787
Large Vision-Language Models (LVLMs) represent a significant advancement toward achieving superior multimodal capabilities by enabling powerful Large Language Models (LLMs) to understand visual input. Typically, LVLMs utilize visual encoders, such as
Externí odkaz:
http://arxiv.org/abs/2411.14164
This study presents a comprehensive evaluation of GPT-4's translation capabilities compared to human translators of varying expertise levels. Through systematic human evaluation using the MQM schema, we assess translations across three language pairs
Externí odkaz:
http://arxiv.org/abs/2411.13775
Autor:
Takerngsaksiri, Wannita, Pasuksmit, Jirat, Thongtanunam, Patanamon, Tantithamthavorn, Chakkrit, Zhang, Ruixiong, Jiang, Fan, Li, Jing, Cook, Evan, Chen, Kun, Wu, Ming
Recently, Large Language Models (LLMs)-based multi-agent paradigms for software engineering are introduced to automatically resolve software development tasks (e.g., from a given issue to source code). However, existing work is evaluated based on his
Externí odkaz:
http://arxiv.org/abs/2411.12924
Oracle character recognition-an analysis of ancient Chinese inscriptions found on oracle bones-has become a pivotal field intersecting archaeology, paleography, and historical cultural studies. Traditional methods of oracle character recognition have
Externí odkaz:
http://arxiv.org/abs/2411.11354