Zobrazeno 1 - 10
of 22 088
pro vyhledávání: '"TIAN, Yu"'
The possible existence of an exotic phase of matter rigid like a solid but able to sustain persistent and dissipation-less flow like a superfluid, a "supersolid", has been the subject of intense theoretical and experimental efforts since the discover
Externí odkaz:
http://arxiv.org/abs/2410.12437
Autor:
Huang, De-Xing, Zhou, Xiao-Hu, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Li, Hao, Xiang, Tian-Yu, Hou, Zeng-Guang
Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN framework that serves as a ``virtual contrast agent" to synthesize X-ray an
Externí odkaz:
http://arxiv.org/abs/2410.08490
Large language models (LLMs) have demonstrated immense utility across various industries. However, as LLMs advance, the risk of harmful outputs increases due to incorrect or malicious instruction prompts. While current methods effectively address jai
Externí odkaz:
http://arxiv.org/abs/2410.06809
Autor:
Shang, Yuying, Zeng, Xinyi, Zhu, Yutao, Yang, Xiao, Fang, Zhengwei, Zhang, Jingyuan, Chen, Jiawei, Liu, Zinan, Tian, Yu
Hallucinations in large vision-language models (LVLMs) are a significant challenge, i.e., generating objects that are not presented in the visual input, which impairs their reliability. Recent studies often attribute hallucinations to a lack of under
Externí odkaz:
http://arxiv.org/abs/2410.06795
Autor:
Liu, Bang, Zhang, Li-Hua, Wang, Ya-Jun, Zhang, Jun, Wang, Qi-Feng, Ma, Yu, Han, Tian-Yu, Zhang, Zheng-Yuan, Shao, Shi-Yao, Li, Qing, Chen, Han-Chao, Nan, Jia-Dou, Zhu, Dong-Yang, Yin, Yi-Ming, Shi, Bao-Sen, Ding, Dong-Sheng
Higgs and Goldstone modes manifest as fluctuations in the order parameter of system, offering insights into its phase transitions and symmetry properties. Exploring the dynamics of these collective excitations in a Rydberg atoms system advances vario
Externí odkaz:
http://arxiv.org/abs/2410.06047
Networks are powerful tools for modeling interactions in complex systems. While traditional networks use scalar edge weights, many real-world systems involve multidimensional interactions. For example, in social networks, individuals often have multi
Externí odkaz:
http://arxiv.org/abs/2410.05188
Imitation based robot learning has recently gained significant attention in the robotics field due to its theoretical potential for transferability and generalizability. However, it remains notoriously costly, both in terms of hardware and data colle
Externí odkaz:
http://arxiv.org/abs/2409.12061
Autor:
Zhang, Jun, Wang, Ya-Jun, Liu, Bang, Zhang, Li-Hua, Zhang, Zheng-Yuan, Shao, Shi-Yao, Li, Qing, Chen, Han-Chao, Ma, Yu, Han, Tian-Yu, Wang, Qi-Feng, Nan, Jia-Dou, Yin, Yi-Ming, Zhu, Dong-Yang, Shi, Bao-Sen, Ding, Dong-Sheng
Study of phase transitions provide insights into how a many-body system behaves under different conditions, enabling us to understand the symmetry breaking, critical phenomena, and topological properties. Strong long-range interactions in highly exci
Externí odkaz:
http://arxiv.org/abs/2409.11035
We present a framework for learning to generate background music from video inputs. Unlike existing works that rely on symbolic musical annotations, which are limited in quantity and diversity, our method leverages large-scale web videos accompanied
Externí odkaz:
http://arxiv.org/abs/2409.07450
Quantum state readout plays a pivotal role in quantum technologies, spanning applications in sensing, computation, and secure communication. In this work, we introduce a new approach for efficiently reading populations of hybrid-spin states in the ni
Externí odkaz:
http://arxiv.org/abs/2409.03341