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pro vyhledávání: '"He, Xinyi"'
Background The incidence of stroke places a heavy burden on both society and individuals. Activity is closely related to cardiovascular health. This study aimed to investigate the relationship between the varying domains of PA, like occupation-relate
Externí odkaz:
http://arxiv.org/abs/2406.13284
Large Language Models have revolutionized code generation ability by converting natural language descriptions into executable code. However, generating complex code within real-world scenarios remains challenging due to intricate structures, subtle b
Externí odkaz:
http://arxiv.org/abs/2403.13583
Autor:
Cai, Weizheng, He, Xinyi, Ye, Tian-Nan, Hu, Xinmeng, Liu, Chuanlong, Sasase, Masato, Kitano, Masaaki, Kamiya, Toshio, Hosono, Hideo, Wu, Jiazhen
Two-dimensional (2D) heterostructuring is a versatile methodology for designing nanoarchitecture catalytic systems that allow for reconstruction and modulation of interfaces and electronic structures. However, catalysts with such structures are extre
Externí odkaz:
http://arxiv.org/abs/2403.11822
Autor:
He, Xinyi, Zhou, Mengyu, Xu, Xinrun, Ma, Xiaojun, Ding, Rui, Du, Lun, Gao, Yan, Jia, Ran, Chen, Xu, Han, Shi, Yuan, Zejian, Zhang, Dongmei
Tabular data analysis is crucial in various fields, and large language models show promise in this area. However, current research mostly focuses on rudimentary tasks like Text2SQL and TableQA, neglecting advanced analysis like forecasting and chart
Externí odkaz:
http://arxiv.org/abs/2312.13671
Table reasoning tasks have shown remarkable progress with the development of large language models (LLMs), which involve interpreting and drawing conclusions from tabular data based on natural language (NL) questions. Existing solutions mainly tested
Externí odkaz:
http://arxiv.org/abs/2312.09039
Large language models~(LLM) like ChatGPT have become indispensable to artificial general intelligence~(AGI), demonstrating excellent performance in various natural language processing tasks. In the real world, graph data is ubiquitous and an essentia
Externí odkaz:
http://arxiv.org/abs/2305.15066
Autor:
Wang, Qian1,2,3 (AUTHOR) 18091276351@163.com, He, Xinyi1,2,3 (AUTHOR), Mao, Jian4 (AUTHOR), Wang, Junxia5 (AUTHOR), Wang, Liangliang1,2,3 (AUTHOR), Zhang, Zhongchi1,2,3 (AUTHOR), Li, Yongfei1,2,3 (AUTHOR), Huang, Fenglin1,3 (AUTHOR), Zhao, Bin6 (AUTHOR), Chen, Gang1,2 (AUTHOR), He, Hua4 (AUTHOR) qianwang719@163.com
Publikováno v:
Molecules. Sep2024, Vol. 29 Issue 17, p4211. 13p.
Numerical Question Answering is the task of answering questions that require numerical capabilities. Previous works introduce general adversarial attacks to Numerical Question Answering, while not systematically exploring numerical capabilities speci
Externí odkaz:
http://arxiv.org/abs/2211.07455
Autor:
He, Xinyi, Zhou, Mengyu, Zhou, Mingjie, Xu, Jialiang, Lv, Xiao, Li, Tianle, Shao, Yijia, Han, Shi, Yuan, Zejian, Zhang, Dongmei
Tabular data analysis is performed every day across various domains. It requires an accurate understanding of field semantics to correctly operate on table fields and find common patterns in daily analysis. In this paper, we introduce the AnaMeta dat
Externí odkaz:
http://arxiv.org/abs/2209.00946
Intelligent analysis and visualization of tables use techniques to automatically recommend useful knowledge from data, thus freeing users from tedious multi-dimension data mining. While many studies have succeeded in automating recommendations throug
Externí odkaz:
http://arxiv.org/abs/2208.01043