Zobrazeno 1 - 10
of 941
pro vyhledávání: '"Liu Xiaoran"'
Publikováno v:
European Journal of Remote Sensing, Pp 1-18 (2022)
Medium Resolution Spectral Imager II (MERSI-II) is one of the core sensors mounted on the FengYun-3D (FY3D) satellite. Two adjacent 250 m long-wave thermal infrared (TIR) channels provide a considerable opportunity for retrieving Land Surface Tempera
Externí odkaz:
https://doaj.org/article/1911f94fa5fc46b6adda7b985120a04e
Autor:
Huang, Mianqiu, Liu, Xiaoran, Zhou, Shaojun, Zhang, Mozhi, Tan, Chenkun, Wang, Pengyu, Guo, Qipeng, Xu, Zhe, Li, Linyang, Lei, Zhikai, Li, Linlin, Liu, Qun, Zhou, Yaqian, Qiu, Xipeng, Huang, Xuanjing
With the development of large language models (LLMs), the sequence length of these models continues to increase, drawing significant attention to long-context language models. However, the evaluation of these models has been primarily limited to thei
Externí odkaz:
http://arxiv.org/abs/2411.06899
Autor:
Xu, Zhe, Ye, Jiasheng, Liu, Xiangyang, Sun, Tianxiang, Liu, Xiaoran, Guo, Qipeng, Li, Linlin, Liu, Qun, Huang, Xuanjing, Qiu, Xipeng
With the rapid advancement of Large Language Models (LLMs), long-context information understanding and processing have become a hot topic in academia and industry. However, benchmarks for evaluating the ability of LLMs to handle long-context informat
Externí odkaz:
http://arxiv.org/abs/2409.02465
Autor:
Liu, Xiaoran, Li, Ruixiao, Guo, Qipeng, Liu, Zhigeng, Song, Yuerong, Lv, Kai, Yan, Hang, Li, Linlin, Liu, Qun, Qiu, Xipeng
The long-context capability of the Large Language Models (LLM) has made significant breakthroughs, but the maximum supported context length remains a critical bottleneck limiting their practical applications. The constraint of context length in LLMs
Externí odkaz:
http://arxiv.org/abs/2407.15176
Autor:
Cai, Zheng, Cao, Maosong, Chen, Haojiong, Chen, Kai, Chen, Keyu, Chen, Xin, Chen, Xun, Chen, Zehui, Chen, Zhi, Chu, Pei, Dong, Xiaoyi, Duan, Haodong, Fan, Qi, Fei, Zhaoye, Gao, Yang, Ge, Jiaye, Gu, Chenya, Gu, Yuzhe, Gui, Tao, Guo, Aijia, Guo, Qipeng, He, Conghui, Hu, Yingfan, Huang, Ting, Jiang, Tao, Jiao, Penglong, Jin, Zhenjiang, Lei, Zhikai, Li, Jiaxing, Li, Jingwen, Li, Linyang, Li, Shuaibin, Li, Wei, Li, Yining, Liu, Hongwei, Liu, Jiangning, Hong, Jiawei, Liu, Kaiwen, Liu, Kuikun, Liu, Xiaoran, Lv, Chengqi, Lv, Haijun, Lv, Kai, Ma, Li, Ma, Runyuan, Ma, Zerun, Ning, Wenchang, Ouyang, Linke, Qiu, Jiantao, Qu, Yuan, Shang, Fukai, Shao, Yunfan, Song, Demin, Song, Zifan, Sui, Zhihao, Sun, Peng, Sun, Yu, Tang, Huanze, Wang, Bin, Wang, Guoteng, Wang, Jiaqi, Wang, Jiayu, Wang, Rui, Wang, Yudong, Wang, Ziyi, Wei, Xingjian, Weng, Qizhen, Wu, Fan, Xiong, Yingtong, Xu, Chao, Xu, Ruiliang, Yan, Hang, Yan, Yirong, Yang, Xiaogui, Ye, Haochen, Ying, Huaiyuan, Yu, Jia, Yu, Jing, Zang, Yuhang, Zhang, Chuyu, Zhang, Li, Zhang, Pan, Zhang, Peng, Zhang, Ruijie, Zhang, Shuo, Zhang, Songyang, Zhang, Wenjian, Zhang, Wenwei, Zhang, Xingcheng, Zhang, Xinyue, Zhao, Hui, Zhao, Qian, Zhao, Xiaomeng, Zhou, Fengzhe, Zhou, Zaida, Zhuo, Jingming, Zou, Yicheng, Qiu, Xipeng, Qiao, Yu, Lin, Dahua
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI). However, replicating such advancements in open-source models has been challenging. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2403.17297
Autor:
Kareev, Mikhail, Liu, Xiaoran, Terilli, Michael, Wen, Fangdi, Wu, Tsung-Chi, Doughty, Dorothy, Li, Hongze, Zhou, Jianshi, Zhang, Qinghua, Gu, Lin, Chakhalian, Jak
The synthesis of stoichiometric and epitaxial pyrochlore iridate thin films presents significant challenges yet is critical for unlocking experimental access to novel topological and magnetic states. Towards this goal, we unveil an in-situ two-stage
Externí odkaz:
http://arxiv.org/abs/2403.07861
Autor:
Liu, Xiaoran, Kim, Jong-Woo, Wang, Yao, Terilli, Michael, Jia, Xun, Kareev, Mikhail, Peng, Shiyu, Wen, Fangdi, Wu, Tsung-Chi, Chen, Huyongqing, Hu, Wanzheng, Upton, Mary H., Kim, Jungho, Choi, Yongseong, Haskel, Daniel, Weng, Hongming, Ryan, Philip J., Cao, Yue, Qi, Yang, Guo, Jiandong, Chakhalian, Jak
The pyrochlore iridates have become ideal platforms to unravel fascinating correlated and topolog?ical phenomena that stem from the intricate interplay among strong spin-orbit coupling, electronic correlations, lattice with geometric frustration, and
Externí odkaz:
http://arxiv.org/abs/2403.06170
The quality of training data are crucial for enhancing the long-text capabilities of foundation models. Despite existing efforts to refine data quality through heuristic rules and evaluations based on data diversity and difficulty, there's a lack of
Externí odkaz:
http://arxiv.org/abs/2402.13583
Autor:
Wu, Xiaofeng, Wang, Zhen, Ding, Zhaoqing, Lin, Zeguo, Yang, Mingyu, Gu, Minghui, Meng, Meng, Yang, Fang, Liu, Xiaoran, Guo, Jiandong
Thin films of the pyrochlore iridates along the [111] direction have drawn significant attention to investigate exotic correlated topological phenomena. Here, we report the fabrication of Eu$_2$Ir$_2$O$_7$ thin films via reactive solid phase epitaxy
Externí odkaz:
http://arxiv.org/abs/2401.04644
Autor:
Lv, Kai, Zhang, Shuo, Gu, Tianle, Xing, Shuhao, Hong, Jiawei, Chen, Keyu, Liu, Xiaoran, Yang, Yuqing, Guo, Honglin, Liu, Tengxiao, Sun, Yu, Guo, Qipeng, Yan, Hang, Qiu, Xipeng
Large language models (LLMs) are increasingly pivotal in a wide range of natural language processing tasks. Access to pre-trained models, courtesy of the open-source community, has made it possible to adapt these models to specific applications for e
Externí odkaz:
http://arxiv.org/abs/2312.00407