Zobrazeno 1 - 10
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pro vyhledávání: '"Ziye An"'
Uniaxial strain is a powerful tuning parameter that can control symmetry and anisotropic electronic properties in iron-based superconductors. However, accurately characterizing anisotropic strain can be challenging and complex. Here, we utilize a cry
Externí odkaz:
http://arxiv.org/abs/2410.13327
Universal dexterous grasping across diverse objects presents a fundamental yet formidable challenge in robot learning. Existing approaches using reinforcement learning (RL) to develop policies on extensive object datasets face critical limitations, i
Externí odkaz:
http://arxiv.org/abs/2410.02475
Decentralized bridge applications are important software that connects various blockchains and facilitates cross-chain asset transfer in the decentralized finance (DeFi) ecosystem which currently operates in a multi-chain environment. Cross-chain tra
Externí odkaz:
http://arxiv.org/abs/2409.04937
Autor:
Yang, Zhenyuan, Lin, Xuhui, He, Qinyi, Huang, Ziye, Liu, Zhengliang, Jiang, Hanqi, Shu, Peng, Wu, Zihao, Li, Yiwei, Law, Stephen, Mai, Gengchen, Liu, Tianming, Yang, Tao
The emergence of Large Language Models (LLMs) and multimodal foundation models (FMs) has generated heightened interest in their applications that integrate vision and language. This paper investigates the capabilities of ChatGPT-4V and Gemini Pro for
Externí odkaz:
http://arxiv.org/abs/2408.12821
With the rapid increment of multiple users for data offloading and computation, it is challenging to guarantee the quality of service (QoS) in remote areas. To deal with the challenge, it is promising to combine aerial access networks (AANs) with mul
Externí odkaz:
http://arxiv.org/abs/2408.02037
We propose a novel seismic wave representation model, namely PRIME-DP (Pre-trained Integrated Model for Earthquake Data Processing), specifically designed for processing seismic waveforms. Most existing models are designed to solve a singular problem
Externí odkaz:
http://arxiv.org/abs/2408.01919
With the rapid development of Text-to-Image (T2I) models, biases in human image generation against demographic social groups become a significant concern, impacting fairness and ethical standards in AI. Some researchers propose their methods to tackl
Externí odkaz:
http://arxiv.org/abs/2407.19524
Autor:
Lou, Zhefeng, Zhao, Yingjie, Gong, Zhihao, Zhu, Ziye, Wu, Mengqi, Wang, Tao, Wang, Jialu, Qi, Haoyu, Zuo, Huakun, Xu, Zhuokai, Shen, Jichuang, Wang, Zhiwei, Li, Lan, Xu, Shuigang, Kong, Wei, Li, Wenbin, Zheng, Xiaorui, Wang, Hua, Lin, Xiao
Two-dimensional (2D) materials with remarkable second-harmonic generation (SHG) hold promise for future on-chip nonlinear optics. Relevant materials with both giant SHG response and environmental stability are long-sought targets. Here, we demonstrat
Externí odkaz:
http://arxiv.org/abs/2407.18458
Text-to-Image (T2I) generative models are becoming increasingly crucial due to their ability to generate high-quality images, which also raises concerns about the social biases in their outputs, especially in the human generation. Sociological resear
Externí odkaz:
http://arxiv.org/abs/2407.15240
Due to the advantages of high mobility and easy deployment, unmanned aerial vehicles (UAVs) are widely applied in both military and civilian fields. In order to strengthen the flight surveillance of UAVs and guarantee the airspace safety, UAVs can be
Externí odkaz:
http://arxiv.org/abs/2406.08038