Zobrazeno 1 - 10
of 287
pro vyhledávání: '"Xie Yuxuan"'
Autor:
Zhou, Pengfei, Peng, Xiaopeng, Song, Jiajun, Li, Chuanhao, Xu, Zhaopan, Yang, Yue, Guo, Ziyao, Zhang, Hao, Lin, Yuqi, He, Yefei, Zhao, Lirui, Liu, Shuo, Li, Tianhua, Xie, Yuxuan, Chang, Xiaojun, Qiao, Yu, Shao, Wenqi, Zhang, Kaipeng
Multimodal Large Language Models (MLLMs) have made significant strides in visual understanding and generation tasks. However, generating interleaved image-text content remains a challenge, which requires integrated multimodal understanding and genera
Externí odkaz:
http://arxiv.org/abs/2411.18499
Recently, multimodal large language models (MLLMs) have received much attention for their impressive capabilities. The evaluation of MLLMs is becoming critical to analyzing attributes of MLLMs and providing valuable insights. However, current benchma
Externí odkaz:
http://arxiv.org/abs/2410.18071
Autor:
Han, Chenrui, Yu, Xuan, Xie, Yuxuan, Liu, Yili, Mao, Sitong, Zhou, Shunbo, Xiong, Rong, Wang, Yue
Interactive point cloud segmentation has become a pivotal task for understanding 3D scenes, enabling users to guide segmentation models with simple interactions such as clicks, therefore significantly reducing the effort required to tailor models to
Externí odkaz:
http://arxiv.org/abs/2407.14009
Crafting high-quality fuzz drivers not only is time-consuming but also requires a deep understanding of the library. However, the state-of-the-art automatic fuzz driver generation techniques fall short of expectations. While fuzz drivers derived from
Externí odkaz:
http://arxiv.org/abs/2312.17677
Despite the fact that the state-of-the-art fuzzers can generate inputs efficiently, existing fuzz drivers still cannot adequately cover entries in libraries. Most of these fuzz drivers are crafted manually by developers, and their quality depends on
Externí odkaz:
http://arxiv.org/abs/2309.03496
Autor:
Qu, Jiaxing, Xie, Yuxuan Richard, Ciesielski, Kamil M., Porter, Claire E., Toberer, Eric S., Ertekin, Elif
Data-driven approaches for material discovery and design have been accelerated by emerging efforts in machine learning. However, general representations of crystals to explore the vast material search space remain limited. We introduce a material dis
Externí odkaz:
http://arxiv.org/abs/2305.01101
Autor:
Zhao Chenjie, Xiong Xiaohong, Xiong Zhenhua, Wu Kangwen, Cao Zhen, Shao Miao, Cao Tongwei, Dong Haoran, Ding Jieying, Zhao Chenge, Xie Yuxuan, Jia Xue, Liu Baofeng, Liu Can, Jiang Langkun, Liu Wenfeng, Wei Dongdong, Yuan Conggan, Li Xinjie
Publikováno v:
MATEC Web of Conferences, Vol 275, p 01026 (2019)
Six specimens were made and tested to study the mechanical properties of LBL beams. The mean ultimate loading value is 68.39 MPa with a standard deviation of 6.37 MPa, giving a characteristic strength (expected to be exceeded by 95% of specimens) of
Externí odkaz:
https://doaj.org/article/0759e51638d945b090c2080dd668d3a0
Publikováno v:
In Structures December 2024 70
Autor:
Shu, Xin, Xie, Yuxuan, Shu, Manling, Ou, Xiangying, Yang, Juan, Wu, Zhenyu, Zhang, Xuan, Zhang, Jinfu, Zeng, Huihong, Shao, Lijian
Publikováno v:
In Immunology Letters December 2024 270
Publikováno v:
In International Review of Financial Analysis October 2024 95 Part B