Zobrazeno 1 - 10
of 15 428
pro vyhledávání: '"An, Baosheng"'
Publikováno v:
In Case Studies in Construction Materials December 2022 17
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01287- (2022)
The polychrome clay sculptures of the Buddha at Baosheng Temple in Suzhou, China are important and famous cultural heritage with a history of more than 1000 years. Currently, they are tarnished by cracking, peeling, and fading. To evaluate the curren
Externí odkaz:
https://doaj.org/article/185583012cfb40758cf5e2a0c46e267f
Autor:
Chen, Xiaohui, Shukla, Satya Narayan, Azab, Mahmoud, Singh, Aashu, Wang, Qifan, Yang, David, Peng, ShengYun, Yu, Hanchao, Yan, Shen, Zhang, Xuewen, He, Baosheng
How well can Multimodal Large Language Models (MLLMs) understand composite images? Composite images (CIs) are synthetic visuals created by merging multiple visual elements, such as charts, posters, or screenshots, rather than being captured directly
Externí odkaz:
http://arxiv.org/abs/2412.05243
Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology
Autor:
Xie, Wei, Ma, Shuoyoucheng, Wang, Zhenhua, Wang, Enze, Chen, Kai, Sun, Xiaobing, Wang, Baosheng
The cognitive mechanism by which Large Language Models (LLMs) solve mathematical problems remains a widely debated and unresolved issue. Currently, there is little interpretable experimental evidence that connects LLMs' problem-solving with human cog
Externí odkaz:
http://arxiv.org/abs/2410.14979
Autor:
Xinyue, Zhao, Shengyan, Xi, Yanhui, Wang, Yangxinzi, Xu, Galia, Pollock, Yu, Su, Yao, Cheng, Guanjie, Loy, Pei, Liu
Publikováno v:
In Journal of Traditional Chinese Medicine 15 February 2017 37(1):88-95
Retinal image registration plays an important role in the ophthalmological diagnosis process. Since there exist variances in viewing angles and anatomical structures across different retinal images, keypoint-based approaches become the mainstream met
Externí odkaz:
http://arxiv.org/abs/2409.01068
In recent years, the multimedia forensics and security community has seen remarkable progress in multitask learning for DeepFake (i.e., face forgery) detection. The prevailing strategy has been to frame DeepFake detection as a binary classification p
Externí odkaz:
http://arxiv.org/abs/2408.16305
In recent years, deep learning has greatly streamlined the process of generating realistic fake face images. Aware of the dangers, researchers have developed various tools to spot these counterfeits. Yet none asked the fundamental question: What digi
Externí odkaz:
http://arxiv.org/abs/2405.08487
Federated Learning (FL) seeks to train a model collaboratively without sharing private training data from individual clients. Despite its promise, FL encounters challenges such as high communication costs for large-scale models and the necessity for
Externí odkaz:
http://arxiv.org/abs/2404.08564
Autor:
Wang, Zhenhua, Xie, Wei, Wang, Baosheng, Wang, Enze, Gui, Zhiwen, Ma, Shuoyoucheng, Chen, Kai
Large Language Models (LLMs) have gradually become the gateway for people to acquire new knowledge. However, attackers can break the model's security protection ("jail") to access restricted information, which is called "jailbreaking." Previous studi
Externí odkaz:
http://arxiv.org/abs/2402.15690