Zobrazeno 1 - 10
of 1 122
pro vyhledávání: '"LIU Minghao"'
Publikováno v:
Zhongguo quanke yixue, Vol 26, Iss 27, Pp 3366-3372 (2023)
Background Percutaneous coronary intervention (PCI) via distal transradial artery approach (dTRA) is effective in reducing the incidence of radial artery occlusion, however, there are no reports on the feasibility, safety and timing of secondary PCI
Externí odkaz:
https://doaj.org/article/a4afd9fd4aae48cf8c38b4e51edbb46c
Publikováno v:
E3S Web of Conferences, Vol 569, p 21006 (2024)
In road construction, geogrids are frequently used to stabilize the base course through their lateral confinement applied to the base materials. Wicking fabrics are also used to improve road performance by installing them at the road base and subgrad
Externí odkaz:
https://doaj.org/article/795f7eb9d8ad4dd2a6d2d22d181b72ba
Autor:
Li, Ziming, Zang, Qianbo, Ma, David, Guo, Jiawei, Zheng, Tuney, Liu, Minghao, Niu, Xinyao, Wang, Yue, Yang, Jian, Liu, Jiaheng, Zhong, Wanjun, Zhou, Wangchunshu, Huang, Wenhao, Zhang, Ge
Data science tasks involving tabular data present complex challenges that require sophisticated problem-solving approaches. We propose AutoKaggle, a powerful and user-centric framework that assists data scientists in completing daily data pipelines t
Externí odkaz:
http://arxiv.org/abs/2410.20424
Autor:
Wu, Siwei, Peng, Zhongyuan, Du, Xinrun, Zheng, Tuney, Liu, Minghao, Wu, Jialong, Ma, Jiachen, Li, Yizhi, Yang, Jian, Zhou, Wangchunshu, Lin, Qunshu, Zhao, Junbo, Zhang, Zhaoxiang, Huang, Wenhao, Zhang, Ge, Lin, Chenghua, Liu, J. H.
Enabling Large Language Models (LLMs) to handle a wider range of complex tasks (e.g., coding, math) has drawn great attention from many researchers. As LLMs continue to evolve, merely increasing the number of model parameters yields diminishing perfo
Externí odkaz:
http://arxiv.org/abs/2410.13639
Autor:
Ma, Kaijing, Du, Xinrun, Wang, Yunran, Zhang, Haoran, Wen, Zhoufutu, Qu, Xingwei, Yang, Jian, Liu, Jiaheng, Liu, Minghao, Yue, Xiang, Huang, Wenhao, Zhang, Ge
In this paper, we introduce Knowledge-Orthogonal Reasoning (KOR), which minimizes the impact of domain-specific knowledge for a more accurate evaluation of models' reasoning abilities in out-of-distribution scenarios. Based on this concept, we propos
Externí odkaz:
http://arxiv.org/abs/2410.06526
Effective communication in automated chat systems hinges on the ability to understand and respond to context. Traditional models often struggle with determining when additional context is necessary for generating appropriate responses. This paper int
Externí odkaz:
http://arxiv.org/abs/2409.13701
Recent advances in text-to-image diffusion models have demonstrated impressive capabilities in image quality. However, complex scene generation remains relatively unexplored, and even the definition of `complex scene' itself remains unclear. In this
Externí odkaz:
http://arxiv.org/abs/2408.13858
Knowledge refactoring compresses a logic program by introducing new rules. Current approaches struggle to scale to large programs. To overcome this limitation, we introduce a constrained optimisation refactoring approach. Our first key idea is to enc
Externí odkaz:
http://arxiv.org/abs/2408.11530
Autor:
Liu, Minghao, Di, Zonglin, Wei, Jiaheng, Wang, Zhongruo, Zhang, Hengxiang, Xiao, Ruixuan, Wang, Haoyu, Pang, Jinlong, Chen, Hao, Shah, Ankit, Wei, Hongxin, He, Xinlei, Zhao, Zhaowei, Wang, Haobo, Feng, Lei, Wang, Jindong, Davis, James, Liu, Yang
Large-scale data collection is essential for developing personalized training data, mitigating the shortage of training data, and fine-tuning specialized models. However, creating high-quality datasets quickly and accurately remains a challenge due t
Externí odkaz:
http://arxiv.org/abs/2408.11338
Hand-eye calibration involves estimating the transformation between the camera and the robot. Traditional methods rely on fiducial markers, involving much manual labor and careful setup. Recent advancements in deep learning offer markerless technique
Externí odkaz:
http://arxiv.org/abs/2408.10562