Zobrazeno 1 - 10
of 276
pro vyhledávání: '"Zhou Yujun"'
Publikováno v:
E3S Web of Conferences, Vol 554, p 01012 (2024)
In this paper,a geological disaster early warning model is constructed based on GIS,and a susceptibility evaluation system is constructed by using GIS spatial information system to obtain seven influencing factors,including slope,topographic relief,s
Externí odkaz:
https://doaj.org/article/d35bda1499a045b7814ade9a23dd6dd7
Autor:
Huang, Yue, Yuan, Zhengqing, Zhou, Yujun, Guo, Kehan, Wang, Xiangqi, Zhuang, Haomin, Sun, Weixiang, Sun, Lichao, Wang, Jindong, Ye, Yanfang, Zhang, Xiangliang
Large Language Models (LLMs) are increasingly employed for simulations, enabling applications in role-playing agents and Computational Social Science (CSS). However, the reliability of these simulations is under-explored, which raises concerns about
Externí odkaz:
http://arxiv.org/abs/2410.23426
Autor:
Zhou, Yujun, Yang, Jingdong, Guo, Kehan, Chen, Pin-Yu, Gao, Tian, Geyer, Werner, Moniz, Nuno, Chawla, Nitesh V, Zhang, Xiangliang
Laboratory accidents pose significant risks to human life and property, underscoring the importance of robust safety protocols. Despite advancements in safety training, laboratory personnel may still unknowingly engage in unsafe practices. With the i
Externí odkaz:
http://arxiv.org/abs/2410.14182
Autor:
Zhou, Yujun, Han, Yufei, Zhuang, Haomin, Guo, Kehan, Liang, Zhenwen, Bao, Hongyan, Zhang, Xiangliang
Large Language Models (LLMs) demonstrate remarkable capabilities across diverse applications. However, concerns regarding their security, particularly the vulnerability to jailbreak attacks, persist. Drawing inspiration from adversarial training in d
Externí odkaz:
http://arxiv.org/abs/2402.13148
Autor:
Liang, Zhenwen, Guo, Kehan, Liu, Gang, Guo, Taicheng, Zhou, Yujun, Yang, Tianyu, Jiao, Jiajun, Pi, Renjie, Zhang, Jipeng, Zhang, Xiangliang
The paper introduces SceMQA, a novel benchmark for scientific multimodal question answering at the college entrance level. It addresses a critical educational phase often overlooked in existing benchmarks, spanning high school to pre-college levels.
Externí odkaz:
http://arxiv.org/abs/2402.05138
This paper presents a unique solution to challenges in medical image processing by incorporating an adaptive curve grey wolf optimization (ACGWO) algorithm into neural network backpropagation. Neural networks show potential in medical data but suffer
Externí odkaz:
http://arxiv.org/abs/2401.11669
Publikováno v:
Jixie chuandong, Vol 40, Pp 4-9 (2016)
The indoor simulation bench test of transmission is an important method of assessment,evaluation and promotion of its performance.Taking transmission as an example,a program load spectrum compiling method for transmission accelerated fatigue test is
Externí odkaz:
https://doaj.org/article/4a946bde187a40cf98f667d45070b285
Autor:
Orsini, Helene, Bao, Hongyan, Zhou, Yujun, Xu, Xiangrui, Han, Yufei, Yi, Longyang, Wang, Wei, Gao, Xin, Zhang, Xiangliang
Machine Learning-as-a-Service systems (MLaaS) have been largely developed for cybersecurity-critical applications, such as detecting network intrusions and fake news campaigns. Despite effectiveness, their robustness against adversarial attacks is on
Externí odkaz:
http://arxiv.org/abs/2212.13989
Our work targets at searching feasible adversarial perturbation to attack a classifier with high-dimensional categorical inputs in a domain-agnostic setting. This is intrinsically an NP-hard knapsack problem where the exploration space becomes explos
Externí odkaz:
http://arxiv.org/abs/2212.06836
Autor:
Zhao, Wenyu, Yao, Yiyuan, Wang, Pengfei, Zhao, Xiaoyu, Fan, Lulu, Liu, Chuquan, Chen, Zhiwen, Xiao, Chengming, Qi, Junwen, Zhou, Yujun, Zhu, Zhigao, Yang, Yue, Li, Jiansheng
Publikováno v:
In Separation and Purification Technology 25 November 2024 348