Zobrazeno 1 - 10
of 1 992
pro vyhledávání: '"CHEN Jiajun"'
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Introduction: More than two billion tons of oil reserves have been discovered in the fractured-cavity type carbonate reservoirs in Tarim Basin, which is a key field for increasing reserves and production in the future. This type of oil reservoirs is
Externí odkaz:
https://doaj.org/article/facf522da212482481bb77509fbf9415
Publikováno v:
The Journal of Chinese Sociology, Vol 10, Iss 1, Pp 1-25 (2023)
Abstract Chinese “Fan circle” oscillate between receiving praise for their charitable endeavors and being shunned by society because of their “toxic fan culture”. This study reveals that “Fan circle “are quasi-organizational communities t
Externí odkaz:
https://doaj.org/article/e2d7e911d5cb45f5922f55069781331f
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The cultivation of innovative talents in psychology requires experimental teaching as a key link. Based on the curriculum structure of psychology experimental teaching, this paper extracts the influencing factors of innovative talent cultivation and
Externí odkaz:
https://doaj.org/article/fc3f04b48789425b8602b405be6a375e
Publikováno v:
口腔疾病防治, Vol 30, Iss 10, Pp 740-745 (2022)
Root position plays an important role in healthy, stable, and aesthetic orthodontic treatment. In the past, two-dimensional radiographic images were used to assess the accuracy and precision of tooth root positions. In recent years, the use of cone b
Externí odkaz:
https://doaj.org/article/e2dde54c8820463a82a2c33b3eccb711
Autor:
Chen Jiajun, Pu Qian
Publikováno v:
SHS Web of Conferences, Vol 192, p 01007 (2024)
With the continuous promotion of the concept of sustainable development and the constant development of cities, the preservation and renovation of historical buildings have gradually become one of the important issues in urban development. This artic
Externí odkaz:
https://doaj.org/article/4c661adf72a24a458e8a576a202fa4a0
Having been trained on massive pretraining data, large language models have shown excellent performance on many knowledge-intensive tasks. However, pretraining data tends to contain misleading and even conflicting information, and it is intriguing to
Externí odkaz:
http://arxiv.org/abs/2410.04784
Autor:
Xu, Yifang, Hua, Ziyue, Wang, Weiting, Ma, Yuwei, Li, Ming, Chen, Jiajun, Zhou, Jie, Pan, Xiaoxuan, Xiao, Lintao, Huang, Hongwei, Cai, Weizhou, Ai, Hao, Liu, Yu-xi, Zou, Chang-Ling, Sun, Luyan
The noise-biased Kerr-cat qubit is an attractive candidate for fault-tolerant quantum computation; however, its initialization faces challenges due to the squeezing pump-induced frequency shift (PIFS). Here, we propose and demonstrate a dynamic compe
Externí odkaz:
http://arxiv.org/abs/2408.14112
Autor:
Zhou, Hao, Wang, Zhijun, Huang, Shujian, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Luo, Weihua, Chen, Jiajun
Large Language Models (LLMs) are often English-centric due to the disproportionate distribution of languages in their pre-training data. Enhancing non-English language capabilities through post-pretraining often results in catastrophic forgetting of
Externí odkaz:
http://arxiv.org/abs/2408.11396
Autor:
Xu, Dongwei, Chen, Jiajun, Lu, Yao, Xia, Tianhao, Xuan, Qi, Wang, Wei, Lin, Yun, Yang, Xiaoniu
Recently, deep learning technology has been successfully introduced into Automatic Modulation Recognition (AMR) tasks. However, the success of deep learning is all attributed to the training on large-scale datasets. Such a large amount of data brings
Externí odkaz:
http://arxiv.org/abs/2408.02714
Autor:
Ding, Peng, Wu, Jingyu, Kuang, Jun, Ma, Dan, Cao, Xuezhi, Cai, Xunliang, Chen, Shi, Chen, Jiajun, Huang, Shujian
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable performance on various visual-language understanding and generation tasks. However, MLLMs occasionally generate content inconsistent with the given images, which is known as "hall
Externí odkaz:
http://arxiv.org/abs/2408.01355