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pro vyhledávání: '"Tian, Chen"'
As basketball's popularity surges, fans often find themselves confused and overwhelmed by the rapid game pace and complexity. Basketball tactics, involving a complex series of actions, require substantial knowledge to be fully understood. This comple
Externí odkaz:
http://arxiv.org/abs/2408.05123
Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing diverse ana
Externí odkaz:
http://arxiv.org/abs/2408.01703
Autor:
Hu, Yujian, Xiang, Yilang, Zhou, Yan-Jie, He, Yangyan, Yang, Shifeng, Du, Xiaolong, Den, Chunlan, Xu, Youyao, Wang, Gaofeng, Ding, Zhengyao, Huang, Jingyong, Zhao, Wenjun, Wu, Xuejun, Li, Donglin, Zhu, Qianqian, Li, Zhenjiang, Qiu, Chenyang, Wu, Ziheng, He, Yunjun, Tian, Chen, Qiu, Yihui, Lin, Zuodong, Zhang, Xiaolong, He, Yuan, Yuan, Zhenpeng, Zhou, Xiaoxiang, Fan, Rong, Chen, Ruihan, Guo, Wenchao, Zhang, Jianpeng, Mok, Tony C. W., Li, Zi, Lu, Le, Lang, Dehai, Li, Xiaoqiang, Wang, Guofu, Lu, Wei, Huang, Zhengxing, Xu, Minfeng, Zhang, Hongkun
Chest pain symptoms are highly prevalent in emergency departments (EDs), where acute aortic syndrome (AAS) is a catastrophic cardiovascular emergency with a high fatality rate, especially when timely and accurate treatment is not administered. Howeve
Externí odkaz:
http://arxiv.org/abs/2406.15222
Crafting effective prompts for code generation or editing with Large Language Models (LLMs) is not an easy task. Particularly, the absence of immediate, stable feedback during prompt crafting hinders effective interaction, as users are left to mental
Externí odkaz:
http://arxiv.org/abs/2405.03998
The violations of parity and Lorentz symmetries in gravity can change the propagating properties of gravitational waves (GWs) in the cosmological background, which can arise from a large number of parity- and Lorentz-violating theories. In this paper
Externí odkaz:
http://arxiv.org/abs/2403.05841
Autor:
Prasad, Vidya, Zhu-Tian, Chen, Vilanova, Anna, Pfister, Hanspeter, Pezzotti, Nicola, Strobelt, Hendrik
Diffusion models have garnered significant attention since they can effectively learn complex multivariate Gaussian distributions, resulting in diverse, high-quality outcomes. They introduce Gaussian noise into training data and reconstruct the origi
Externí odkaz:
http://arxiv.org/abs/2312.14965
The $\Xi N$ interaction plays an important role in our understanding on the long-anticipated $H$-dibaryon. Recent lattice QCD calculations verified the attractive nature of the $\Xi N$ interaction. On the other hand, whether it is strong enough to ge
Externí odkaz:
http://arxiv.org/abs/2311.02022
Autor:
Zhu-Tian, Chen, Xia, Haijun
Data documents play a central role in recording, presenting, and disseminating data. Despite the proliferation of applications and systems designed to support the analysis, visualization, and communication of data, writing data documents remains a la
Externí odkaz:
http://arxiv.org/abs/2310.11639
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics ( Volume: 26, Issue: 8, 01 August 2020)
Recent advances in mobile augmented reality (AR) techniques have shed new light on personal visualization for their advantages of fitting visualization within personal routines, situating visualization in a real-world context, and arousing users' int
Externí odkaz:
http://arxiv.org/abs/2310.04843
This paper presents an authoring environment for augmenting static visualizations with virtual content in augmented reality. Augmenting static visualizations can leverage the best of both physical and digital worlds, but its creation currently involv
Externí odkaz:
http://arxiv.org/abs/2310.04826