Zobrazeno 1 - 10
of 1 610
pro vyhledávání: '"MIAO, Xin"'
Autor:
Xu, Mayi, Ning, Yunfeng, Li, Yongqi, Chen, Jianhao, Wen, Jintao, Xiao, Yao, Zhou, Shen, Pan, Birong, Bao, Zepeng, Miao, Xin, Kang, Hankun, Sun, Ke, Qian, Tieyun
Reasoning is fundamental to human intelligence, and critical for problem-solving, decision-making, and critical thinking. Reasoning refers to drawing new conclusions based on existing knowledge, which can support various applications like clinical di
Externí odkaz:
http://arxiv.org/abs/2501.01030
Autor:
Kang, Hankun, Chen, Jianhao, Li, Yongqi, Miao, Xin, Xu, Mayi, Zhong, Ming, Zhu, Yuanyuan, Qian, Tieyun
Toxicity detection is crucial for maintaining the peace of the society. While existing methods perform well on normal toxic contents or those generated by specific perturbation methods, they are vulnerable to evolving perturbation patterns. However,
Externí odkaz:
http://arxiv.org/abs/2412.15267
Autor:
Xu, Di, Miao, Xin, Liu, Hengjie, Scholey, Jessica E., Yang, Wensha, Feng, Mary, Ohliger, Michael, Lin, Hui, Lao, Yi, Yang, Yang, Sheng, Ke
Abstract Purpose: High-quality 4D MRI requires an impractically long scanning time for dense k-space signal acquisition covering all respiratory phases. Accelerated sparse sampling followed by reconstruction enhancement is desired but often results i
Externí odkaz:
http://arxiv.org/abs/2412.10629
Despite the rapid progress that existing automated feedback methods have made in correcting the output of large language models (LLMs), these methods cannot be well applied to the relation extraction (RE) task due to their designated feedback objecti
Externí odkaz:
http://arxiv.org/abs/2412.07289
Autor:
Xu, Di, Miao, Xin, Liu, Hengjie, Scholey, Jessica E., Yang, Wensha, Feng, Mary, Ohliger, Michael, Lin, Hui, Lao, Yi, Yang, Yang, Sheng, Ke
Purpose: 4D MRI with high spatiotemporal resolution is desired for image-guided liver radiotherapy. Acquiring densely sampling k-space data is time-consuming. Accelerated acquisition with sparse samples is desirable but often causes degraded image qu
Externí odkaz:
http://arxiv.org/abs/2405.12357
Large language models (LLMs) have made remarkable progress in a wide range of natural language understanding and generation tasks. However, their ability to generate counterfactuals has not been examined systematically. To bridge this gap, we present
Externí odkaz:
http://arxiv.org/abs/2305.14791
Albeit existing evidence about the impact of AI-based adaptive learning platforms, their scaled adoption in schools is slow at best. In addition, AI tools adopted in schools may not always be the considered and studied products of the research commun
Externí odkaz:
http://arxiv.org/abs/2304.00903
Autor:
Chai, Changpeng1,2 (AUTHOR), Miao, Xin3,4 (AUTHOR), Su, Yuanhui2 (AUTHOR), Yu, Cheng2 (AUTHOR), Tang, Huan2 (AUTHOR), Li, Lu1 (AUTHOR), Wang, Zhengfeng1,2 (AUTHOR), Yi, Jianfeng5,6 (AUTHOR), Ye, Zhenzhen2 (AUTHOR), Miao, Long1,2 (AUTHOR), Zhang, Hui2,7 (AUTHOR), Hu, Zhao4,8 (AUTHOR), Chen, Luyang4,8 (AUTHOR), Wu, Keren4,8 (AUTHOR), Li, Ning4,8 (AUTHOR), Wang, Linpei9,10 (AUTHOR) wlp@fjmu.edu.cn, Zhou, Wence2,7 (AUTHOR) zhouwc129@163.com, Xu, Hao1,4,5,8,11 (AUTHOR) amoyxu@126.com
Publikováno v:
BMC Cancer. 12/20/2024, Vol. 24 Issue 1, p1-14. 14p.
Publikováno v:
Tongxin xuebao, Vol 45, Pp 1-9 (2024)
In view of the time-varying nature of the single-satellite mission in the mega constellation, the resulting overload, the vulnerability of a single node, and the high reliability requirements of the network control plane, the topology control of sate
Externí odkaz:
https://doaj.org/article/a048bb9e7b6c435aaa89fba6b0949a8c
Autor:
Touzeau, Cyrille, Krishnan, Amrita Y., Moreau, Philippe, Perrot, Aurore, Usmani, Saad Z., Manier, Salomon, Cavo, Michele, Martinez Chamorro, Carmen, Nooka, Ajay K., Martin, Thomas G., Karlin, Lionel, Leleu, Xavier, Bahlis, Nizar J., Besemer, Britta, Pei, Lixia, Stein, Sarah, Wang Lin, Shun Xin, Trancucci, Danielle, Verona, Raluca I., Girgis, Suzette, Miao, Xin, Uhlar, Clarissa M., Chastain, Katherine, Garfall, Alfred L.
Publikováno v:
In Blood 5 December 2024 144(23):2375-2388