Zobrazeno 1 - 10
of 13 413
pro vyhledávání: '"An, Wenhong"'
Autor:
Zhang, Delin, Wei, Heshuang, Duan, Jinyu, Chen, Jiali, Yue, Dongdong, Yang, Yuhe, Gou, Jinlong, Yan, Junxin, Zhai, Kun, Wang, Ping, Hu, Shuai, Jia, Zhiyan, Jiang, Wei, Wang, Wenhong, Li, Yue, Jiang, Yong
Efficiently manipulating the magnetization of van der Waals ferromagnets has attracted considerable interest in developing room-temperature two-dimensional material-based memory and logic devices. Here, taking advantage of the unique properties of th
Externí odkaz:
http://arxiv.org/abs/2412.04872
Industrial anomaly detection (IAD) plays a crucial role in the maintenance and quality control of manufacturing processes. In this paper, we propose a novel approach, Vision-Language Anomaly Detection via Contrastive Cross-Modal Training (CLAD), whic
Externí odkaz:
http://arxiv.org/abs/2412.00890
In the fourth generation Audio Video coding Standard (AVS4), the Inter Prediction Filter (INTERPF) reduces discontinuities between prediction and adjacent reconstructed pixels in inter prediction. The paper proposes a low complexity learning-based in
Externí odkaz:
http://arxiv.org/abs/2411.15759
Aligning language models (LMs) with human preferences has become a key area of research, enabling these models to meet diverse user needs better. Inspired by weak-to-strong generalization, where a strong LM fine-tuned on labels generated by a weaker
Externí odkaz:
http://arxiv.org/abs/2410.18640
Autor:
Li, Hang, Zhou, Feng, Ding, Bei, Chen, Jie, Song, Linxuan, Yang, Wenyun, Lau, Yong-Chang, Yang, Jinbo, Li, Yue, Jiang, Yong, Wang, Wenhong
Topological magnetic materials are expected to show multiple transport responses because of their unusual bulk electronic topology in momentum space and topological spin texture in real space. However, such multiple topological properties-hosting mat
Externí odkaz:
http://arxiv.org/abs/2408.00363
The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems. This paper explores the application of LLMs in psychological counseling, addressing the increa
Externí odkaz:
http://arxiv.org/abs/2406.13617
Autor:
Wang, Xiaotian, Bai, Jingbo, Wang, Jianhua, Cheng, Zhenxiang, Qian, Shifeng, Wang, Wenhong, Zhang, Gang, Yu, Zhi-Ming, Yao, Yugui
There has been a significant focus on real topological systems that enjoy space-time inversion symmetry (PT ) and lack spin-orbit coupling. While the theoretical classification of the real topology has been established, more progress has yet to be ma
Externí odkaz:
http://arxiv.org/abs/2405.12072
While Large Language Models (LLMs) have shown remarkable abilities, they are hindered by significant resource consumption and considerable latency due to autoregressive processing. In this study, we introduce Adaptive N-gram Parallel Decoding (ANPD),
Externí odkaz:
http://arxiv.org/abs/2404.08698
Autor:
Yang, Yuhe, Wang, Ping, Chen, Jiali, Zhang, Delin, Pan, Chang, Hu, Shuai, Wang, Ting, Yue, Wensi, Chen, Cheng, Jiang, Wei, Zhu, Lujun, Qiu, Xuepeng, Yao, Yugui, Li, Yue, Wang, Wenhong, Jiang, Yong
The orbital Hall effect in light materials has attracted considerable attention for developing novel orbitronic devices. Here we investigate the orbital torque efficiency and demonstrate the switching of the perpendicularly magnetized materials throu
Externí odkaz:
http://arxiv.org/abs/2403.03043
Current language models decode text token by token according to probabilistic distribution, and determining the appropriate candidates for the next token is crucial to ensure generation quality. This study introduces adaptive decoding, a mechanism th
Externí odkaz:
http://arxiv.org/abs/2402.18223