Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Fu, Yujia"'
Autor:
Wang, Yejie, He, Keqing, Fu, Dayuan, Gongque, Zhuoma, Xu, Heyang, Chen, Yanxu, Wang, Zhexu, Fu, Yujia, Dong, Guanting, Diao, Muxi, Wang, Jingang, Zhang, Mengdi, Cai, Xunliang, Xu, Weiran
Recently, there has been a growing interest in studying how to construct better code instruction tuning data. However, we observe Code models trained with these datasets exhibit high performance on HumanEval but perform worse on other benchmarks such
Externí odkaz:
http://arxiv.org/abs/2409.03810
Autor:
Song, Xiaoshuai, Diao, Muxi, Dong, Guanting, Wang, Zhengyang, Fu, Yujia, Qiao, Runqi, Wang, Zhexu, Fu, Dayuan, Wu, Huangxuan, Liang, Bin, Zeng, Weihao, Wang, Yejie, GongQue, Zhuoma, Yu, Jianing, Tan, Qiuna, Xu, Weiran
Computer Science (CS) stands as a testament to the intricacies of human intelligence, profoundly advancing the development of artificial intelligence and modern society. However, the current community of large language models (LLMs) overly focuses on
Externí odkaz:
http://arxiv.org/abs/2406.08587
Autor:
Yu, Jiaxin, Liang, Peng, Fu, Yujia, Tahir, Amjed, Shahin, Mojtaba, Wang, Chong, Cai, Yangxiao
Security code review, as a time-consuming and labour-intensive process, typically requires integration with automated security defect detection tools to ensure code security. Despite the emergence of numerous security analysis tools, those tools face
Externí odkaz:
http://arxiv.org/abs/2401.16310
As one of the most popular dynamic languages, Python experiences a decrease in readability and maintainability when code smells are present. Recent advancements in Large Language Models have sparked growing interest in AI-enabled tools for both code
Externí odkaz:
http://arxiv.org/abs/2401.14176
Modern code generation tools, utilizing AI models like Large Language Models (LLMs), have gained popularity for producing functional code. However, their usage presents security challenges, often resulting in insecure code merging into the code base.
Externí odkaz:
http://arxiv.org/abs/2310.02059
Autor:
Liu, Yuanzhi, Fu, Yujia, Qin, Minghui, Xu, Yufeng, Xu, Baoxin, Chen, Fengdong, Goossens, Bart, Sun, Poly Z. H., Yu, Hongwei, Liu, Chun, Chen, Long, Tao, Wei, Zhao, Hui
The rapid developments of mobile robotics and autonomous navigation over the years are largely empowered by public datasets for testing and upgrading, such as sensor odometry and SLAM tasks. Impressive demos and benchmark scores have arisen, which ma
Externí odkaz:
http://arxiv.org/abs/2306.14137
Publikováno v:
In Case Studies in Thermal Engineering September 2024 61
Autor:
Yan, Xizhe, Tong, Dan, Cao, Zhi, Chen, Cuihong, Guo, Yaqin, Xu, Ruochong, Qin, Xinying, Fu, Yujia, Liu, Yang, Zheng, Dongsheng, He, Kebin, Zhang, Qiang
Publikováno v:
In Resources, Conservation & Recycling December 2024 211
Autor:
Song, Li, Jian, Linli, Yan, Bihan, Deng, Xihong, Qing, Long, Pu, Yue, Huang, Furong, Jiao, Zhiyao, Liu, Shuang, Zhou, Meng, Fu, Yujia, Gao, Yuan, Huang, Zhuo
Publikováno v:
In Industrial Crops & Products 15 November 2024 220
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 April 2024 311