Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Xu, Chenhui"'
Autor:
Liu, Dancheng, Nassereldine, Amir, Yang, Ziming, Xu, Chenhui, Hu, Yuting, Li, Jiajie, Kumar, Utkarsh, Lee, Changjae, Xiong, Jinjun
Large language models (LLMs) have attracted significant attention for their remarkable abilities in various natural language processing tasks, but they suffer from hallucinations that will cause performance degradation. One promising solution to impr
Externí odkaz:
http://arxiv.org/abs/2406.15673
As edge-based automatic speech recognition (ASR) technologies become increasingly prevalent for the development of intelligent and personalized assistants, three important challenges must be addressed for these resource-constrained ASR models, i.e.,
Externí odkaz:
http://arxiv.org/abs/2406.15668
Autor:
Qin, Ruiyang, Liu, Dancheng, Xu, Chenhui, Yan, Zheyu, Tan, Zhaoxuan, Jia, Zhenge, Nassereldine, Amir, Li, Jiajie, Jiang, Meng, Abbasi, Ahmed, Xiong, Jinjun, Shi, Yiyu
The scaling laws have become the de facto guidelines for designing large language models (LLMs), but they were studied under the assumption of unlimited computing resources for both training and inference. As LLMs are increasingly used as personalize
Externí odkaz:
http://arxiv.org/abs/2406.03777
The past neural network design has largely focused on feature representation space dimension and its capacity scaling (e.g., width, depth), but overlooked the feature interaction space scaling. Recent advancements have shown shifted focus towards ele
Externí odkaz:
http://arxiv.org/abs/2405.13972
Machine learning is evolving towards high-order models that necessitate pre-training on extensive datasets, a process associated with significant overheads. Traditional models, despite having pre-trained weights, are becoming obsolete due to architec
Externí odkaz:
http://arxiv.org/abs/2405.03192
Recent research underscores the pivotal role of the Out-of-Distribution (OOD) feature representation field scale in determining the efficacy of models in OOD detection. Consequently, the adoption of model ensembles has emerged as a prominent strategy
Externí odkaz:
http://arxiv.org/abs/2403.16260
Autor:
Xu, Chenhui1,2 (AUTHOR), Li, Zhihui1,2 (AUTHOR), Hang, Tianyi1 (AUTHOR), Chen, Yiming1 (AUTHOR) yiming.chen@zjnu.edu.cn, He, Tianlong1 (AUTHOR), Li, Xiping1 (AUTHOR), Zheng, Jiajia1 (AUTHOR) jiajia.zheng@zjnu.cn, Wu, Zhiyi2 (AUTHOR) wuzhiyi@binn.cas.cn
Publikováno v:
Advanced Science. 8/14/2024, Vol. 11 Issue 30, p1-11. 11p.
Autor:
Xu, Chenhui
Since 2019, COVID-19, as a new acute respiratory disease, has struck the whole world, causing millions of death and threatening the economy, politics, and civilization. Therefore, an accurate prediction of the future spread of COVID-19 becomes crucia
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305801
Autor:
Li, Zhihui, Chen, Yiming, Hang, Tianyi, Xu, Chenhui, Shen, Jiahui, Li, Xiping, Zheng, Jiajia, Wu, Zhiyi
Publikováno v:
In Journal of Materials Science & Technology 1 January 2025 204:81-90
Autor:
Xu, Chenhui, Peng, Gang, Hu, Yiran, Chen, Yongyang, Xu, Yong, Huo, Xiaoqing, Deng, Jizhong, Zheng, Jiajia, Chen, Yiming, Zhang, Zhiwei, Tao, Li, Wu, Zhiyi
Publikováno v:
In Nano Energy 1 December 2024 131 Part B