Zobrazeno 1 - 10
of 10 258
pro vyhledávání: '"ZHOU, Yue"'
Autor:
Lan, Mengcheng, Chen, Chaofeng, Zhou, Yue, Xu, Jiaxing, Ke, Yiping, Wang, Xinjiang, Feng, Litong, Zhang, Wayne
Multimodal Large Language Models (MLLMs) have shown exceptional capabilities in vision-language tasks; however, effectively integrating image segmentation into these models remains a significant challenge. In this paper, we introduce Text4Seg, a nove
Externí odkaz:
http://arxiv.org/abs/2410.09855
Autor:
Huang, Yulong, Liu, Zunchang, Feng, Changchun, Lin, Xiaopeng, Ren, Hongwei, Fu, Haotian, Zhou, Yue, Xing, Hong, Cheng, Bojun
Recently, there is growing demand for effective and efficient long sequence modeling, with State Space Models (SSMs) proving to be effective for long sequence tasks. To further reduce energy consumption, SSMs can be adapted to Spiking Neural Networks
Externí odkaz:
http://arxiv.org/abs/2410.03530
Noncollinear chiral antiferromagnets, such as Mn3X (X = Sn, Ge), have garnered significant interest in spintronics due to their topologically protected Weyl nodes and large momentum-space Berry curvatures. In this study, we report rapid chirality dom
Externí odkaz:
http://arxiv.org/abs/2409.18554
Autor:
Zhou, Yue
We consider one-parameter families of quadratic-phase integral transforms which generalize the fractional Fourier transform. Under suitable regularity assumptions, we characterize the one-parameter groups formed by such transforms. Necessary and suff
Externí odkaz:
http://arxiv.org/abs/2409.11201
As large language models achieve increasingly impressive results, questions arise about whether such performance is from generalizability or mere data memorization. Thus, numerous data contamination detection methods have been proposed. However, thes
Externí odkaz:
http://arxiv.org/abs/2409.09927
Autor:
Chen, Bo, Feng, Li, Zhang, Guang, Li, Hui, He, Lingping, Song, Kefei, Guo, Quanfeng, Li, Ying, Huang, Yu, Li, Jingwei, Zhao, Jie, Xue, Jianchao, Li, Gen, Shi, Guanglu, Song, Dechao, Lu, Lei, Ying, Beili, Wang, Haifeng, Dai, Shuang, Wang, Xiaodong, Mao, Shilei, Wang, Peng, Wu, Kun, Ren, Shuai, Sun, Liang, Yang, Xianwei, Xia, Mingyi, Zhang, Xiaoxue, Zhou, Peng, Tao, Chen, Liu, Yang, Yu, Sibo, Li, Xinkai, Li, Shuting, Zhang, Ping, Li, Qiao, Tian, Zhengyuan, Zhou, Yue, Tian, Jun, Shan, Jiahui, Liu, Xiaofeng, Jing, Zhichen, Gan, Weiqun
The Lyman-alpha Solar Telescope (LST) on board the Advanced Space-based Solar Observatory (ASO-S) is the first payload to image the full solar disk and the solar corona in both white-light (WL) and ultraviolet (UV) H I Lya, extending up to 2.5 solar
Externí odkaz:
http://arxiv.org/abs/2408.01937
Autor:
Samuel, Vinay, Zou, Henry Peng, Zhou, Yue, Chaudhari, Shreyas, Kalyan, Ashwin, Rajpurohit, Tanmay, Deshpande, Ameet, Narasimhan, Karthik, Murahari, Vishvak
Persona agents, which are LLM agents that act according to an assigned persona, have demonstrated impressive contextual response capabilities across various applications. These persona agents offer significant enhancements across diverse sectors, suc
Externí odkaz:
http://arxiv.org/abs/2407.18416
We find that language models have difficulties generating fallacious and deceptive reasoning. When asked to generate deceptive outputs, language models tend to leak honest counterparts but believe them to be false. Exploiting this deficiency, we prop
Externí odkaz:
http://arxiv.org/abs/2407.00869
Autor:
Xue, Jianchao, Feng, Li, Li, Hui, Zhang, Ping, Chen, Jun, Shi, Guanglu, Ji, Kaifan, Qiu, Ye, Li, Chuan, Lu, Lei, Ying, Beili, Li, Ying, Huang, Yu, Li, Youping, Li, Jingwei, Zhao, Jie, Song, Dechao, Li, Shuting, Tian, Zhengyuan, Su, Yingna, Zhang, Qingmin, Ge, Yunyi, Shan, Jiahui, Li, Qiao, Li, Gen, Zhou, Yue, Tian, Jun, Liu, Xiaofeng, Jing, Zhichen, Chen, Bo, Song, Kefei, He, Lingping, Lei, Shijun, Gan, Weiqun
Sympathetic eruptions of solar prominences have been studied for decades, however, it is usually difficult to identify their causal links. Here we present two failed prominence eruptions on 26 October 2022 and explore their connections. Using stereos
Externí odkaz:
http://arxiv.org/abs/2406.11602
Vision-Language Foundation Models (VLFMs) have made remarkable progress on various multimodal tasks, such as image captioning, image-text retrieval, visual question answering, and visual grounding. However, most methods rely on training with general
Externí odkaz:
http://arxiv.org/abs/2406.09385