Zobrazeno 1 - 10
of 31 360
pro vyhledávání: '"ZHAO, Xin"'
In this paper, we consider the interior structure of a multi-band holographic superconductor model. We focus on the holographic superconductor system with two scalar fields which correspond to two s-wave order parameters in the dual condensed matter
Externí odkaz:
http://arxiv.org/abs/2411.07693
Large vision-language models (LVLMs) have made significant strides in addressing complex video tasks, sparking researchers' interest in their human-like multimodal understanding capabilities. Video description serves as a fundamental task for evaluat
Externí odkaz:
http://arxiv.org/abs/2410.15270
Autor:
Hao, Jiaxing, Wang, Yanxi, Chang, Zhigang, Gao, Hongmin, Cheng, Zihao, Wu, Chen, Zhao, Xin, Fang, Peiye, Muwardi, Rachmat
Gait recognition is a remote biometric technology that utilizes the dynamic characteristics of human movement to identify individuals even under various extreme lighting conditions. Due to the limitation in spatial perception capability inherent in 2
Externí odkaz:
http://arxiv.org/abs/2410.08454
Diffusion Models (DMs) achieve state-of-the-art synthesis results in image generation and have been applied to various fields. However, DMs sometimes seriously violate user privacy during usage, making the protection of privacy an urgent issue. Using
Externí odkaz:
http://arxiv.org/abs/2409.05414
To address the challenges of similarity between lesions and surrounding tissues, overlapping appearances of partially benign and malignant nodules, and difficulty in classification, a deep learning network that integrates CNN and Transformer is propo
Externí odkaz:
http://arxiv.org/abs/2407.19316
ATARI is a suite of video games used by reinforcement learning (RL) researchers to test the effectiveness of the learning algorithm. Receiving only the raw pixels and the game score, the agent learns to develop sophisticated strategies, even to the c
Externí odkaz:
http://arxiv.org/abs/2407.11044
Language models often struggle with handling factual knowledge, exhibiting factual hallucination issue. This makes it vital to evaluate the models' ability to recall its parametric knowledge about facts. In this study, we introduce a knowledge probin
Externí odkaz:
http://arxiv.org/abs/2406.12277
Beyond the exploration of traditional spatial, temporal and subjective visual signal redundancy in image and video compression, recent research has focused on leveraging cross-color component redundancy to enhance coding efficiency. Cross-component c
Externí odkaz:
http://arxiv.org/abs/2406.01795
Autor:
Dou, Shihan, Liu, Yan, Zhou, Enyu, Li, Tianlong, Jia, Haoxiang, Xiong, Limao, Zhao, Xin, Ye, Junjie, Zheng, Rui, Gui, Tao, Zhang, Qi, Huang, Xuanjing
The success of Reinforcement Learning from Human Feedback (RLHF) in language model alignment is critically dependent on the capability of the reward model (RM). However, as the training process progresses, the output distribution of the policy model
Externí odkaz:
http://arxiv.org/abs/2405.00438
The impact of nuclear structure has garnered considerable attention in the high-energy nuclear physics community in recent years. This work focuses on studying the potential nuclear cluster structure in $^{16}\text{O}$ nuclei using anisotropic flow o
Externí odkaz:
http://arxiv.org/abs/2404.09780