Zobrazeno 1 - 10
of 361
pro vyhledávání: '"Zheng, Yuxiang"'
Autor:
Zheng, Yuxiang, Sun, Shichao, Qiu, Lin, Ru, Dongyu, Jiayang, Cheng, Li, Xuefeng, Lin, Jifan, Wang, Binjie, Luo, Yun, Pan, Renjie, Xu, Yang, Min, Qingkai, Zhang, Zizhao, Wang, Yiwen, Li, Wenjie, Liu, Pengfei
The rapid growth of scientific literature imposes significant challenges for researchers endeavoring to stay updated with the latest advancements in their fields and delve into new areas. We introduce OpenResearcher, an innovative platform that lever
Externí odkaz:
http://arxiv.org/abs/2408.06941
The deployment of Large Language Models (LLMs) in content generation raises significant safety concerns, particularly regarding the transparency and interpretability of content evaluations. Current methods, primarily focused on binary safety classifi
Externí odkaz:
http://arxiv.org/abs/2407.17075
Autor:
Huang, Zhen, Wang, Zengzhi, Xia, Shijie, Li, Xuefeng, Zou, Haoyang, Xu, Ruijie, Fan, Run-Ze, Ye, Lyumanshan, Chern, Ethan, Ye, Yixin, Zhang, Yikai, Yang, Yuqing, Wu, Ting, Wang, Binjie, Sun, Shichao, Xiao, Yang, Li, Yiyuan, Zhou, Fan, Chern, Steffi, Qin, Yiwei, Ma, Yan, Su, Jiadi, Liu, Yixiu, Zheng, Yuxiang, Zhang, Shaoting, Lin, Dahua, Qiao, Yu, Liu, Pengfei
The evolution of Artificial Intelligence (AI) has been significantly accelerated by advancements in Large Language Models (LLMs) and Large Multimodal Models (LMMs), gradually showcasing potential cognitive reasoning abilities in problem-solving and s
Externí odkaz:
http://arxiv.org/abs/2406.12753
Noisy labels significantly hinder the accuracy and generalization of machine learning models, particularly due to ambiguous instance features. Traditional techniques that attempt to correct noisy labels directly, such as those using transition matric
Externí odkaz:
http://arxiv.org/abs/2405.12969
Autor:
Hemati, Hamed, Pellegrini, Lorenzo, Duan, Xiaotian, Zhao, Zixuan, Xia, Fangfang, Masana, Marc, Tscheschner, Benedikt, Veas, Eduardo, Zheng, Yuxiang, Zhao, Shiji, Li, Shao-Yuan, Huang, Sheng-Jun, Lomonaco, Vincenzo, van de Ven, Gido M.
Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world problems, the concept of repetition in the data stream is not often con
Externí odkaz:
http://arxiv.org/abs/2405.04101
Autor:
Lin, Yeqing, Shu, Feng, Zheng, Yuxiang, Liu, Jing, Dong, Rongen, Chen, Xun, Wu, Yue, Wang, Jiangzhou
As the excellent tools for aiding communication,intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) can extend the coverage area, remove blind area, and achieve a dramatic rate improvement. In this paper, we improve the secrecy rat
Externí odkaz:
http://arxiv.org/abs/2211.00266
Publikováno v:
Journal of Managerial Psychology, 2024, Vol. 39, Issue 1, pp. 100-115.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JMP-03-2022-0129
Autor:
Long, Shufa, Zhou, Jianli, Zheng, Yuxiang, Xiao, Qinyao, Li, Yingzi, Yin, Ziting, Tian, Wenxia, Xiong, Zhimei, Chen, Wen, Liu, Mengqing
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 October 2024 455
Autor:
Xu, Wenjie, Zheng, Yuxiang, Suo, Zizheng, Yang, Yafan, Yang, Jing, Wang, Qing, Zhou, Bowen, Ni, Cheng
Publikováno v:
In Heliyon 15 August 2024 10(15)
Prediction of thermal conductivity in UO2 with SiC additions and related decisive features discovery
Publikováno v:
In Journal of Nuclear Materials 1 December 2024 601