Zobrazeno 1 - 10
of 2 717
pro vyhledávání: '"LIN, Huan"'
Autor:
Qwen, Yang, An, Yang, Baosong, Zhang, Beichen, Hui, Binyuan, Zheng, Bo, Yu, Bowen, Li, Chengyuan, Liu, Dayiheng, Huang, Fei, Wei, Haoran, Lin, Huan, Yang, Jian, Tu, Jianhong, Zhang, Jianwei, Yang, Jianxin, Yang, Jiaxi, Zhou, Jingren, Lin, Junyang, Dang, Kai, Lu, Keming, Bao, Keqin, Yang, Kexin, Yu, Le, Li, Mei, Xue, Mingfeng, Zhang, Pei, Zhu, Qin, Men, Rui, Lin, Runji, Li, Tianhao, Tang, Tianyi, Xia, Tingyu, Ren, Xingzhang, Ren, Xuancheng, Fan, Yang, Su, Yang, Zhang, Yichang, Wan, Yu, Liu, Yuqiong, Cui, Zeyu, Zhang, Zhenru, Qiu, Zihan
In this report, we introduce Qwen2.5, a comprehensive series of large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has been significantly improved during both the pre-training and post-training stag
Externí odkaz:
http://arxiv.org/abs/2412.15115
Autor:
Lin, Huan, Ding, Lianghui
Unmanned aerial vehicle (UAV) swarm networks face severe challenges of communication network split (CNS) issues caused by massive damage in hostile environments. In this paper, we propose a new paradigm to restore network connectivity by repositionin
Externí odkaz:
http://arxiv.org/abs/2411.11342
Autor:
Zhang, Xin, Zhang, Yanzhao, Long, Dingkun, Xie, Wen, Dai, Ziqi, Tang, Jialong, Lin, Huan, Yang, Baosong, Xie, Pengjun, Huang, Fei, Zhang, Meishan, Li, Wenjie, Zhang, Min
We present systematic efforts in building long-context multilingual text representation model (TRM) and reranker from scratch for text retrieval. We first introduce a text encoder (base size) enhanced with RoPE and unpadding, pre-trained in a native
Externí odkaz:
http://arxiv.org/abs/2407.19669
Autor:
Yang, An, Yang, Baosong, Hui, Binyuan, Zheng, Bo, Yu, Bowen, Zhou, Chang, Li, Chengpeng, Li, Chengyuan, Liu, Dayiheng, Huang, Fei, Dong, Guanting, Wei, Haoran, Lin, Huan, Tang, Jialong, Wang, Jialin, Yang, Jian, Tu, Jianhong, Zhang, Jianwei, Ma, Jianxin, Yang, Jianxin, Xu, Jin, Zhou, Jingren, Bai, Jinze, He, Jinzheng, Lin, Junyang, Dang, Kai, Lu, Keming, Chen, Keqin, Yang, Kexin, Li, Mei, Xue, Mingfeng, Ni, Na, Zhang, Pei, Wang, Peng, Peng, Ru, Men, Rui, Gao, Ruize, Lin, Runji, Wang, Shijie, Bai, Shuai, Tan, Sinan, Zhu, Tianhang, Li, Tianhao, Liu, Tianyu, Ge, Wenbin, Deng, Xiaodong, Zhou, Xiaohuan, Ren, Xingzhang, Zhang, Xinyu, Wei, Xipin, Ren, Xuancheng, Liu, Xuejing, Fan, Yang, Yao, Yang, Zhang, Yichang, Wan, Yu, Chu, Yunfei, Liu, Yuqiong, Cui, Zeyu, Zhang, Zhenru, Guo, Zhifang, Fan, Zhihao
This report introduces the Qwen2 series, the latest addition to our large language models and large multimodal models. We release a comprehensive suite of foundational and instruction-tuned language models, encompassing a parameter range from 0.5 to
Externí odkaz:
http://arxiv.org/abs/2407.10671
Autor:
Wong, Kenneth C., Dux, Frédéric, Shajib, Anowar J., Suyu, Sherry H., Millon, Martin, Mozumdar, Pritom, Wells, Patrick R., Agnello, Adriano, Birrer, Simon, Buckley-Geer, Elizabeth J., Courbin, Frédéric, Fassnacht, Christopher D., Frieman, Joshua, Galan, Aymeric, Lin, Huan, Marshall, Philip J., Poh, Jason, Schuldt, Stefan, Sluse, Dominique, Treu, Tommaso
Publikováno v:
A&A 689, A168 (2024)
Time-delay cosmography is a powerful technique to constrain cosmological parameters, particularly the Hubble constant ($H_{0}$). The TDCOSMO collaboration is performing an ongoing analysis of lensed quasars to constrain cosmology using this method. I
Externí odkaz:
http://arxiv.org/abs/2406.02683
Autor:
Gris, Philippe, Awan, Humna, Becker, Matthew R., Lin, Huan, Gawiser, Eric, Jha, Saurabh W., Collaboration, the LSST Dark Energy Science
Publikováno v:
The Astrophysical Journal Supplement Series, 275:21 (2024)
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will image billions of astronomical objects in the wide-fast-deep primary survey and in a set of minisurveys including intensive observations of a group of deep drilling fields (DDF
Externí odkaz:
http://arxiv.org/abs/2405.10781
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 6, Pp 203-210 (2024)
With the gradual use of packaging boxes for potato storage, the influence of different stacking methods on the storage effect of potatoes was studied. This study used direct computational fluid dynamics numerical methods to simulate the models of pot
Externí odkaz:
https://doaj.org/article/fbbbdc71ac784869a66a6acbaa28a64f
Autor:
Wei, Xiangpeng, Wei, Haoran, Lin, Huan, Li, Tianhao, Zhang, Pei, Ren, Xingzhang, Li, Mei, Wan, Yu, Cao, Zhiwei, Xie, Binbin, Hu, Tianxiang, Li, Shangjie, Hui, Binyuan, Yu, Bowen, Liu, Dayiheng, Yang, Baosong, Huang, Fei, Xie, Jun
Large language models (LLMs) demonstrate remarkable ability to comprehend, reason, and generate following nature language instructions. However, the development of LLMs has been primarily focused on high-resource languages, such as English, thereby l
Externí odkaz:
http://arxiv.org/abs/2307.06018
Autor:
Cao, Zhiwei, Yang, Baosong, Lin, Huan, Wu, Suhang, Wei, Xiangpeng, Liu, Dayiheng, Xie, Jun, Zhang, Min, Su, Jinsong
$k$-Nearest neighbor machine translation ($k$NN-MT) has attracted increasing attention due to its ability to non-parametrically adapt to new translation domains. By using an upstream NMT model to traverse the downstream training corpus, it is equippe
Externí odkaz:
http://arxiv.org/abs/2305.16599
Autor:
Xie, Binbin, Song, Jia, Shao, Liangying, Wu, Suhang, Wei, Xiangpeng, Yang, Baosong, Lin, Huan, Xie, Jun, Su, Jinsong
Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a given document. Recently, researchers have conducted in-depth studies on this task from various perspectives. In this paper, we comprehensively summarize representati
Externí odkaz:
http://arxiv.org/abs/2305.02579