Zobrazeno 1 - 10
of 19 516
pro vyhledávání: '"Siyi An"'
Publikováno v:
Photonics, Vol 10, Iss 12, p 1373 (2023)
Semiconductor nano-lasers have been a topic of interest from the perspective of advancing the capabilities of photonic integration. Nano-lasers are perceived as the means to achieve improved functionality in photonic integrated circuits. The properti
Externí odkaz:
https://doaj.org/article/86ce7ad9d2364bbfb20ae23a9b7430b7
Recently, diffusion-based generative models have demonstrated remarkable performance in speech enhancement tasks. However, these methods still encounter challenges, including the lack of structural information and poor performance in low Signal-to-No
Externí odkaz:
http://arxiv.org/abs/2409.05116
Autor:
Pan, Siyi, Chen, Baoliang, Huang, Danni, Zhu, Hanwei, Zhu, Lingyu, Sui, Xiangjie, Wang, Shiqi
Despite the impressive performance of large multimodal models (LMMs) in high-level visual tasks, their capacity for image quality assessment (IQA) remains limited. One main reason is that LMMs are primarily trained for high-level tasks (e.g., image c
Externí odkaz:
http://arxiv.org/abs/2411.12791
Autor:
Zhao, Cheng, Huang, Song, He, Mengfan, Montero-Camacho, Paulo, Liu, Yu, Renard, Pablo, Tang, Yunyi, Verdier, Aurelien, Xu, Wenshuo, Yang, Xiaorui, Yu, Jiaxi, Zhang, Yao, Zhao, Siyi, Zhou, Xingchen, He, Shengyu, Kneib, Jean-Paul, Li, Jiayi, Li, Zhuoyang, Wang, Wen-Ting, Xianyu, Zhong-Zhi, Zhang, Yidian, Gsponer, Rafaela, Li, Xiao-Dong, Rocher, Antoine, Zou, Siwei, Tan, Ting, Huang, Zhiqi, Wang, Zhuoxiao, Li, Pei, Rombach, Maxime, Dong, Chenxing, Forero-Sanchez, Daniel, Shan, Huanyuan, Wang, Tao, Li, Yin, Zhai, Zhongxu, Wang, Yuting, Zhao, Gong-Bo, Shi, Yong, Mao, Shude, Huang, Lei, Guo, Liquan, Cai, Zheng
The MUltiplexed Survey Telescope (MUST) is a 6.5-meter telescope under development. Dedicated to highly-multiplexed, wide-field spectroscopic surveys, MUST observes over 20,000 targets simultaneously using 6.2-mm pitch positioning robots within a ~5
Externí odkaz:
http://arxiv.org/abs/2411.07970
Autor:
Aguilera-Gómez, Claudia, Rogers, Laura K., Bonsor, Amy, Jofré, Paula, Blouin, Simon, Shorttle, Oliver, Buchan, Andrew M., Li, Yuqi, Xu, Siyi
Planets form from the same cloud of molecular gas and dust as their host stars. Confirming if planetary bodies acquire the same refractory element composition as their natal disc during formation, and how efficiently volatile elements are incorporate
Externí odkaz:
http://arxiv.org/abs/2411.03454
With the growing availability of quantitative forecasts from various sources, effectively communicating these multiple forecasts has become increasingly crucial. Recent advances have explored using Multiple-Forecast Visualizations (MFVs) to display m
Externí odkaz:
http://arxiv.org/abs/2411.02576
Autor:
Xu, Yifan, Liu, Xiao, Sun, Xueqiao, Cheng, Siyi, Yu, Hao, Lai, Hanyu, Zhang, Shudan, Zhang, Dan, Tang, Jie, Dong, Yuxiao
Autonomous agents have become increasingly important for interacting with the real world. Android agents, in particular, have been recently a frequently-mentioned interaction method. However, existing studies for training and evaluating Android agent
Externí odkaz:
http://arxiv.org/abs/2410.24024
Autor:
Bhardwaj, Eshta, Gujral, Harshit, Wu, Siyi, Zogheib, Ciara, Maharaj, Tegan, Becker, Christoph
Data curation is a field with origins in librarianship and archives, whose scholarship and thinking on data issues go back centuries, if not millennia. The field of machine learning is increasingly observing the importance of data curation to the adv
Externí odkaz:
http://arxiv.org/abs/2410.22473
Autor:
Liu, Xiao, Qin, Bo, Liang, Dongzhu, Dong, Guang, Lai, Hanyu, Zhang, Hanchen, Zhao, Hanlin, Iong, Iat Long, Sun, Jiadai, Wang, Jiaqi, Gao, Junjie, Shan, Junjun, Liu, Kangning, Zhang, Shudan, Yao, Shuntian, Cheng, Siyi, Yao, Wentao, Zhao, Wenyi, Liu, Xinghan, Liu, Xinyi, Chen, Xinying, Yang, Xinyue, Yang, Yang, Xu, Yifan, Yang, Yu, Wang, Yujia, Xu, Yulin, Qi, Zehan, Dong, Yuxiao, Tang, Jie
We present AutoGLM, a new series in the ChatGLM family, designed to serve as foundation agents for autonomous control of digital devices through Graphical User Interfaces (GUIs). While foundation models excel at acquiring human knowledge, they often
Externí odkaz:
http://arxiv.org/abs/2411.00820
Quantifying the effect of textual interventions in social systems, such as reducing anger in social media posts to see its impact on engagement, poses significant challenges. Direct interventions on real-world systems are often infeasible, necessitat
Externí odkaz:
http://arxiv.org/abs/2410.21474