Zobrazeno 1 - 10
of 1 252
pro vyhledávání: '"Xu Xiwei"'
Autor:
KANG Wenjun, XU Xiwei
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 2, Pp 289-297 (2024)
Objective On February 6, 2023, double strong earthquakes of MW7.8 and MW7.5 occurred consecutively within 10 hours in the Kahramanmaraş province in central-southern Turkey. After these double-strong earthquakes, domestic and foreign seismologists st
Externí odkaz:
https://doaj.org/article/1d5e2ce86a104d60b981a287349ae708
Publikováno v:
Dizhi lixue xuebao, Vol 30, Iss 2, Pp 348-362 (2024)
Objective Widely distributed active faults are natural carriers that produce surface-rupture events; multidisciplinary observations have revealed that geometric changes in active faults significantly influence surface-rupture development. However, pr
Externí odkaz:
https://doaj.org/article/5d6a5f92ed8b4ab49d2768cadac1cd5b
Autor:
Chen, Jieshan, Wang, Zhen, Sun, Jiamou, Zou, Wenbo, Xing, Zhenchang, Lu, Qinghua, Huang, Qing, Xu, Xiwei
Mobile apps are essential in daily life, yet they often employ dark patterns, such as visual tricks to highlight certain options or linguistic tactics to nag users into making purchases, to manipulate user behavior. Current research mainly uses manua
Externí odkaz:
http://arxiv.org/abs/2411.18084
Significant efforts has been made to expand the use of Large Language Models (LLMs) beyond basic language tasks. While the generalizability and versatility of LLMs have enabled widespread adoption, evolving demands in application development often ex
Externí odkaz:
http://arxiv.org/abs/2411.12357
Autor:
Klymenko, Mykhailo, Hoang, Thong, Xu, Xiwei, Xing, Zhenchang, Usman, Muhammad, Lu, Qinghua, Zhu, Liming
Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversarial attacks, and reduce the number of parameters without compromising
Externí odkaz:
http://arxiv.org/abs/2411.10487
Large Language Models (LLMs) have achieved impressive results in various tasks but struggle with hallucination problems and lack of relevant knowledge, especially in deep complex reasoning and knowledge-intensive tasks. Knowledge Graphs (KGs), which
Externí odkaz:
http://arxiv.org/abs/2410.14211
Autor:
Zhou, Jingwen, Lu, Qinghua, Chen, Jieshan, Zhu, Liming, Xu, Xiwei, Xing, Zhenchang, Harrer, Stefan
The rapid advancement of AI technology has led to widespread applications of agent systems across various domains. However, the need for detailed architecture design poses significant challenges in designing and operating these systems. This paper in
Externí odkaz:
http://arxiv.org/abs/2408.02920
Pythonic idioms are highly valued and widely used in the Python programming community. However, many Python users find it challenging to use Pythonic idioms. Adopting a rule-based approach or LLM-only approach is not sufficient to overcome three pers
Externí odkaz:
http://arxiv.org/abs/2406.03660
Autor:
Liu, Yue, Lo, Sin Kit, Lu, Qinghua, Zhu, Liming, Zhao, Dehai, Xu, Xiwei, Harrer, Stefan, Whittle, Jon
Foundation model-enabled generative artificial intelligence facilitates the development and implementation of agents, which can leverage distinguished reasoning and language processing capabilities to takes a proactive, autonomous role to pursue user
Externí odkaz:
http://arxiv.org/abs/2405.10467
Recent studies have shown that recommender systems (RSs) are highly vulnerable to data poisoning attacks. Understanding attack tactics helps improve the robustness of RSs. We intend to develop efficient attack methods that use limited resources to ge
Externí odkaz:
http://arxiv.org/abs/2402.09023