Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Liu Jiazhen"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The unmanned aerial vehicle(UAV) used in agricultural fields usually has a load, which affects stability of flight trajectory. This problem is a great technical challenge and critical issue which has fascinated many researchers in this area. This res
Externí odkaz:
https://doaj.org/article/ea1fb2ccf78f47bb8e2908ca8f795e9e
Dynamical phase transitions (DPTs) characterize critical changes in system behavior occurring at finite times, providing a lens to study nonequilibrium phenomena beyond conventional equilibrium physics. While extensively studied in quantum systems, D
Externí odkaz:
http://arxiv.org/abs/2412.06704
Autor:
Fu, Yuhan, Xie, Ruobing, Liu, Jiazhen, Lan, Bangxiang, Sun, Xingwu, Kang, Zhanhui, Li, Xirong
Hallucinations in multimodal large language models (MLLMs) hinder their practical applications. To address this, we propose a Magnifier Prompt (MagPrompt), a simple yet effective method to tackle hallucinations in MLLMs via extremely simple instructi
Externí odkaz:
http://arxiv.org/abs/2410.11701
Multi-robot collaboration for target tracking presents significant challenges in hazardous environments, including addressing robot failures, dynamic priority changes, and other unpredictable factors. Moreover, these challenges are increased in adver
Externí odkaz:
http://arxiv.org/abs/2409.11230
Complex multi-objective missions require the coordination of heterogeneous robots at multiple inter-connected levels, such as coalition formation, scheduling, and motion planning. The associated challenges are exacerbated when solutions to these inte
Externí odkaz:
http://arxiv.org/abs/2404.07902
Multi-robot target tracking finds extensive applications in different scenarios, such as environmental surveillance and wildfire management, which require the robustness of the practical deployment of multi-robot systems in uncertain and dangerous en
Externí odkaz:
http://arxiv.org/abs/2404.07880
Autor:
Liu, Jiazhen, Fu, Yuhan, Xie, Ruobing, Xie, Runquan, Sun, Xingwu, Lian, Fengzong, Kang, Zhanhui, Li, Xirong
Multimodal Large Language Models (MLLMs) hallucinate, resulting in an emerging topic of visual hallucination evaluation (VHE). This paper contributes a ChatGPT-Prompted visual hallucination evaluation Dataset (PhD) for objective VHE at a large scale.
Externí odkaz:
http://arxiv.org/abs/2403.11116
Autor:
Ding, Jingtao, Liu, Chang, Zheng, Yu, Zhang, Yunke, Yu, Zihan, Li, Ruikun, Chen, Hongyi, Piao, Jinghua, Wang, Huandong, Liu, Jiazhen, Li, Yong
Complex networks pervade various real-world systems, from the natural environment to human societies. The essence of these networks is in their ability to transition and evolve from microscopic disorder-where network topology and node dynamics intert
Externí odkaz:
http://arxiv.org/abs/2402.16887
Publikováno v:
Aslib Journal of Information Management, 2023, Vol. 76, Issue 6, pp. 1088-1114.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AJIM-10-2022-0476
Science progresses by building upon previous discoveries. It is commonly believed that the impact of scientific papers, as measured by citations, is positively correlated with the impact of past discoveries built upon. However, analyzing over 30 mill
Externí odkaz:
http://arxiv.org/abs/2303.03646