Zobrazeno 1 - 10
of 6 124 265
pro vyhledávání: '"In Been Yang"'
Autor:
Sujeevan Rajendran, Yu Mi Kang, In Been Yang, Hye Bhin Eo, Kyung Lyung Baek, Seonghoe Jang, Assaf Eybishitz, Ho Cheol Kim, Byeong Il Je, Soon Ju Park, Chul Min Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Plant-specific transcription factors (TFs) are responsible for regulating the genes involved in the development of plant-specific organs and response systems for adaptation to terrestrial environments. This includes the development of effici
Externí odkaz:
https://doaj.org/article/07bc9797a4b741239b8b4331e6c0d507
Autor:
Qiu, Ri-Zhao, Song, Yuchen, Peng, Xuanbin, Suryadevara, Sai Aneesh, Yang, Ge, Liu, Minghuan, Ji, Mazeyu, Jia, Chengzhe, Yang, Ruihan, Zou, Xueyan, Wang, Xiaolong
`In-the-wild' mobile manipulation aims to deploy robots in diverse real-world environments, which requires the robot to (1) have skills that generalize across object configurations; (2) be capable of long-horizon task execution in diverse environment
Externí odkaz:
http://arxiv.org/abs/2411.15131
Multimodal large language models (MLLMs) are closing the gap to human visual perception capability rapidly, while, still lag behind on attending to subtle images details or locating small objects precisely, etc. Common schemes to tackle these issues
Externí odkaz:
http://arxiv.org/abs/2411.13909
Autor:
Liu, D. F., Xu, Y. F., Hu, H. Y., Liu, J. Y., Ying, T. P., Lv, Y. Y., Jiang, Y., Chen, C., Yang, Y. H., Pei, D., Prabhakaran, D., Gao, M. H., Wang, J. J., Zhang, Q. H., Meng, F. Q., Thiagarajan, B., Polley, C., Hashimoto, M., Lu, D. H., Schröter, N. B. M., Strocov, V. N., Louat, A., Cacho, C., Biswas, D., Lee, T. -L., Steadman, P., Bencok, P., Chen, Y. B., Gu, L., Hesjeda, T., van der Laan, G., Hosono, H., Yang, L. X., Liu, Z. K., Yuan, H. Q., Bernevig, B. A., Chen, Y. L.
The symbiosis of strong interactions, flat bands, topology and symmetry has led to the discovery of exotic phases of matter, including fractional Chern insulators, correlated moir\'e topological superconductors, and Dirac and Weyl semimetals. Correla
Externí odkaz:
http://arxiv.org/abs/2411.13898
Autor:
Sun, Luhang, Pendyala, Varsha, Chuang, Yun-Shiuan, Yang, Shanglin, Feldman, Jonathan, Zhao, Andrew, De Choudhury, Munmun, Yang, Sijia, Shah, Dhavan
This paper leverages large-language models (LLMs) to experimentally determine optimal strategies for scaling up social media content annotation for stance detection on HPV vaccine-related tweets. We examine both conventional fine-tuning and emergent
Externí odkaz:
http://arxiv.org/abs/2411.14720
Autor:
Jia, Xiaojun, Huang, Yihao, Liu, Yang, Tan, Peng Yan, Yau, Weng Kuan, Mak, Mun-Thye, Sim, Xin Ming, Ng, Wee Siong, Ng, See Kiong, Liu, Hanqing, Zhou, Lifeng, Yan, Huanqian, Sun, Xiaobing, Liu, Wei, Wang, Long, Qian, Yiming, Liu, Yong, Yang, Junxiao, Zhang, Zhexin, Lei, Leqi, Chen, Renmiao, Lu, Yida, Cui, Shiyao, Wang, Zizhou, Li, Shaohua, Wang, Yan, Goh, Rick Siow Mong, Zhen, Liangli, Zhang, Yingjie, Zhao, Zhe
This paper introduces the Global Challenge for Safe and Secure Large Language Models (LLMs), a pioneering initiative organized by AI Singapore (AISG) and the CyberSG R&D Programme Office (CRPO) to foster the development of advanced defense mechanisms
Externí odkaz:
http://arxiv.org/abs/2411.14502
Autor:
PandaX Collaboration, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Gao, Zhixing, Geng, Lisheng, Giboni, Karl, Guo, Xunan, Guo, Xuyuan, Guo, Zichao, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Houqi, Huang, Junting, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ji, Xiangpan, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Li, Zhiyuan, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shan, Dong, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Shen, Manbin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Guanbo, Wang, Hao, Wang, Jiamin, Wang, Lei, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Xiong, Kaizhi, Xu, Yifan, Yao, Shunyu, Yan, Binbin, Yan, Xiyu, Yang, Yong, Ye, Peihua, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Jiaxu, Zhou, Jiayi, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yubo, Zhou, Zhizhen
Detailed studies of two-neutrino double electron capture (2$\nu$DEC) is a crucial step towards searching for the neutrino-less mode to explore the Majorana nature of neutrinos. We have measured precisely the half-life of the 2$\nu$DEC process in $^{1
Externí odkaz:
http://arxiv.org/abs/2411.14355
Autor:
Liu, Xiaolong, Zeng, Zhichen, Liu, Xiaoyi, Yuan, Siyang, Song, Weinan, Hang, Mengyue, Liu, Yiqun, Yang, Chaofei, Kim, Donghyun, Chen, Wen-Yen, Yang, Jiyan, Han, Yiping, Jin, Rong, Long, Bo, Tong, Hanghang, Yu, Philip S.
Recent advances in foundation models have established scaling laws that enable the development of larger models to achieve enhanced performance, motivating extensive research into large-scale recommendation models. However, simply increasing the mode
Externí odkaz:
http://arxiv.org/abs/2411.13700
Autor:
Wang, Xiaocui, Yang, Yang, Li, Yongkai, Liu, Guangtong, Duan, Junxi, Wang, Zhiwei, Lu, Li, Yang, Fan
TiSe$_2$ is a typical transition-metal dichalcogenide known for its charge-density wave order. In this study, we report the observation of an unusual anisotropic negative magnetoresistance in exfoliated TiSe$_2$ nanoflakes at low temperatures. Unlike
Externí odkaz:
http://arxiv.org/abs/2411.13488
Autor:
Wang, Yunli, Yang, Zixuan, Zhang, Zhen, Wang, Zhiqiang, Yang, Jian, Wen, Shiyang, Jiang, Peng, Gai, Kun
The scaling law is a notable property of neural network models and has significantly propelled the development of large language models. Scaling laws hold great promise in guiding model design and resource allocation. Recent research increasingly sho
Externí odkaz:
http://arxiv.org/abs/2411.13322