Zobrazeno 1 - 10
of 576
pro vyhledávání: '"Zhang, Mengxue"'
Publikováno v:
Physical Review C 110, 034902 (2024)
In relativistic heavy-ion collisions, jet quenching in quark-gluon plasma (QGP) has been extensively studied, revealing important insights into the properties of the color deconfined nuclear matter. Over the past decade, there has been a surge of int
Externí odkaz:
http://arxiv.org/abs/2404.18115
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classif
Externí odkaz:
http://arxiv.org/abs/2306.00791
Solutions to math word problems (MWPs) with step-by-step explanations are valuable, especially in education, to help students better comprehend problem-solving strategies. Most existing approaches only focus on obtaining the final correct answer. A f
Externí odkaz:
http://arxiv.org/abs/2306.00784
Automated feedback as students answer open-ended math questions has significant potential in improving learning outcomes at large scale. A key part of automated feedback systems is an error classification component, which identifies student errors an
Externí odkaz:
http://arxiv.org/abs/2305.06163
Autor:
Zhang, Mengxue1,2 (AUTHOR), Hu, Nan3 (AUTHOR), Guo, Yang1 (AUTHOR), Wu, Wenhao1,2 (AUTHOR), Fan, Liwu4 (AUTHOR), Lin, Daohui1,2 (AUTHOR), Wang, Juan1,2 (AUTHOR) wjuan@zju.edu.cn, Yang, Kun1,2,5 (AUTHOR) kyang@zju.edu.cn
Publikováno v:
Advanced Science. 8/14/2024, Vol. 11 Issue 30, p1-9. 9p.
Publikováno v:
Chinese Phys. C 47 (2023) 024106
Jet quenching has successfully served as a hard probe to study the properties of Quark-Gluon Plasma (QGP). As a multi-particle system, jets take time to develop from a highly virtual parton to a group of partons close to mass shells. In this study, w
Externí odkaz:
http://arxiv.org/abs/2208.13331
Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art approaches use neural language models to create vectorized repr
Externí odkaz:
http://arxiv.org/abs/2205.15219
Autor:
Su, Haoran, Li, Xinyi, Li, Dongze, Gao, Di, Zhang, Mengxue, Shang, Yufan, Liu, Yanping, Geng, Huiling, Liu, Xiang, Yu, Ruijin
Publikováno v:
In Ceramics International 15 September 2024 50(18) Part B:34111-34122
Publikováno v:
In Remote Sensing of Environment 1 September 2024 311
Publikováno v:
In Environmental Technology & Innovation August 2024 35