Zobrazeno 1 - 10
of 45 736
pro vyhledávání: '"CHEN, Hui"'
Autor:
Wang, Ao, Chen, Hui, Tan, Jianchao, Zhang, Kefeng, Cai, Xunliang, Lin, Zijia, Han, Jungong, Ding, Guiguang
Recently, large vision-language models (LVLMs) have rapidly gained popularity for their strong generation and reasoning capabilities given diverse multimodal inputs. However, these models incur significant computational and memory overhead during inf
Externí odkaz:
http://arxiv.org/abs/2412.03409
Autor:
Chen, Hui-Huang
In this paper, we consider the time evolution of entanglement asymmetry of the black hole radiation in the Hayden-Preskill thought experiment. We assume the black hole is initially in a mixed state since it is entangled with the early radiation. Alic
Externí odkaz:
http://arxiv.org/abs/2411.17695
Autor:
Yang, Hui-Yue, Chen, Hui, Wang, Ao, Chen, Kai, Lin, Zijia, Tang, Yongliang, Gao, Pengcheng, Quan, Yuming, Han, Jungong, Ding, Guiguang
Segment Anything Model (SAM) has made great progress in anomaly segmentation tasks due to its impressive generalization ability. However, existing methods that directly apply SAM through prompting often overlook the domain shift issue, where SAM perf
Externí odkaz:
http://arxiv.org/abs/2411.17217
Autor:
Wang, Yu-Tong, Ye, Qi-Hang, Yan, Jun-Yong, Qiao, Yufei, Chen, Chen, Cheng, Xiao-Tian, Li, Chen-Hui, Zhang, Zi-Jian, Huang, Cheng-Nian, Meng, Yun, Zou, Kai, Zhan, Wen-Kang, Zhao, Chao, Hu, Xiaolong, Tee, Clarence Augustine T H, Sha, Wei E. I., Huang, Zhixiang, Liu, Huiyun, Jin, Chao-Yuan, Ying, Lei, Liu, Feng
Quantum emitters are a key component in photonic quantum technologies. Enhancing their single-photon emission by engineering the photonic environment using cavities can significantly improve the overall efficiency in quantum information processing. H
Externí odkaz:
http://arxiv.org/abs/2411.16830
This paper introduces a novel approach to efficient localization in next-generation communication systems through a base station (BS)-enabled passive beamforming utilizing beyond diagonal reconfigurable intelligent surfaces (BD-RISs). Unlike conventi
Externí odkaz:
http://arxiv.org/abs/2411.13295
Gaze estimation encounters generalization challenges when dealing with out-of-distribution data. To address this problem, recent methods use neural radiance fields (NeRF) to generate augmented data. However, existing methods based on NeRF are computa
Externí odkaz:
http://arxiv.org/abs/2411.12981
The changesets (or patches) that fix open source software vulnerabilities form critical datasets for various machine learning security-enhancing applications, such as automated vulnerability patching and silent fix detection. These patch datasets are
Externí odkaz:
http://arxiv.org/abs/2411.11659
The Structured Dialogue System, referred to as SuDoSys, is an innovative Large Language Model (LLM)-based chatbot designed to provide psychological counseling. SuDoSys leverages the World Health Organization (WHO)'s Problem Management Plus (PM+) guid
Externí odkaz:
http://arxiv.org/abs/2411.10681
Autor:
Lian, Haoran, Xiong, Yizhe, Lin, Zijia, Niu, Jianwei, Mo, Shasha, Chen, Hui, Liu, Peng, Ding, Guiguang
The prevalent use of Byte Pair Encoding (BPE) in Large Language Models (LLMs) facilitates robust handling of subword units and avoids issues of out-of-vocabulary words. Despite its success, a critical challenge persists: long tokens, rich in semantic
Externí odkaz:
http://arxiv.org/abs/2411.05504
Autor:
Ge, Yu, Kaltiokallio, Ossi, Chen, Hui, Talvitie, Jukka, Xia, Yuxuan, Madhusudan, Giyyarpuram, Larue, Guillaume, Svensson, Lennart, Valkama, Mikko, Wymeersch, Henk
The concept of 6G distributed integrated sensing and communications (DISAC) builds upon the functionality of integrated sensing and communications (ISAC) by integrating distributed architectures, significantly enhancing both sensing and communication
Externí odkaz:
http://arxiv.org/abs/2411.01871