Zobrazeno 1 - 10
of 2 261
pro vyhledávání: '"Cao Ting"'
Autor:
Cao Ting, Luo Yongkun
Publikováno v:
Revista Brasileira de Política Internacional, Vol 66, Iss 2 (2023)
Abstract ASEAN has arguably been one of the most successful regionalisms, which since its inception has undergone several profound challenges, including the 1997 Asian financial crisis. In response to the fierce competition among major powers and the
Externí odkaz:
https://doaj.org/article/b26bdeffae71497dbbad2bb8600f5f71
Autor:
Wang, Tuowei, Fan, Ruwen, Huang, Minxing, Hao, Zixu, Li, Kun, Cao, Ting, Lu, Youyou, Zhang, Yaoxue, Ren, Ju
Large Language Models (LLMs) have achieved remarkable success across various domains, yet deploying them on mobile devices remains an arduous challenge due to their extensive computational and memory demands. While lightweight LLMs have been develope
Externí odkaz:
http://arxiv.org/abs/2410.19274
Video understanding has become increasingly important with the rise of multi-modality applications. Understanding continuous video poses considerable challenges due to the fast expansion of streaming video, which contains multi-scale and untrimmed ev
Externí odkaz:
http://arxiv.org/abs/2410.14993
Autor:
Gao, Yizhao, Zeng, Zhichen, Du, Dayou, Cao, Shijie, So, Hayden Kwok-Hay, Cao, Ting, Yang, Fan, Yang, Mao
Attention is the cornerstone of modern Large Language Models (LLMs). Yet its quadratic complexity limits the efficiency and scalability of LLMs, especially for those with a long-context window. A promising approach addressing this limitation is to le
Externí odkaz:
http://arxiv.org/abs/2410.13276
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 464-471 (2021)
Gestational diabetes mellitus (GDM) is a metabolic dysregulation closely related to both obesity and type 2 diabetes; however, the molecular mechanism underlying GDM is still unclear. The purpose of this study was to investigate the effects of microR
Externí odkaz:
https://doaj.org/article/06f1a048477b4a2eb482ee2028066d22
Autor:
Liu, Yifei, Wen, Jicheng, Wang, Yang, Ye, Shengyu, Zhang, Li Lyna, Cao, Ting, Li, Cheng, Yang, Mao
Scaling model size significantly challenges the deployment and inference of Large Language Models (LLMs). Due to the redundancy in LLM weights, recent research has focused on pushing weight-only quantization to extremely low-bit (even down to 2 bits)
Externí odkaz:
http://arxiv.org/abs/2409.17066
Autor:
Mo, Zhiwen, Wang, Lei, Wei, Jianyu, Zeng, Zhichen, Cao, Shijie, Ma, Lingxiao, Jing, Naifeng, Cao, Ting, Xue, Jilong, Yang, Fan, Yang, Mao
As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these low-bit LLMs introduce the need for mixed-precision
Externí odkaz:
http://arxiv.org/abs/2408.06003
Sensing technology is widely used for comprehending the physical world, with numerous modalities explored in past decades. While there has been considerable work on multi-modality learning, they all require data of all modalities be paired. How to le
Externí odkaz:
http://arxiv.org/abs/2407.17777
Autor:
Rizzo, Daniel J., Seewald, Eric, Zhao, Fangzhou, Cox, Jordan, Xie, Kaichen, Vitalone, Rocco A., Ruta, Francesco L., Chica, Daniel G., Shao, Yinming, Shabani, Sara, Telford, Evan J., Strasbourg, Matthew C., Darlington, Thomas P., Xu, Suheng, Qiu, Siyuan, Devarakonda, Aravind, Taniguchi, Takashi, Watanabe, Kenji, Zhu, Xiaoyang, Schuck, P. James, Dean, Cory R., Roy, Xavier, Millis, Andrew J., Cao, Ting, Rubio, Angel, Pasupathy, Abhay N., Basov, D. N.
Graphene is a privileged 2D platform for hosting confined light-matter excitations known as surface plasmon-polaritons (SPPs), as it possesses low intrinsic losses with a high degree of optical confinement. However, the inherently isotropic optical p
Externí odkaz:
http://arxiv.org/abs/2407.07178
The deployment of Large Language Models (LLMs) on edge devices is increasingly important to enhance on-device intelligence. Weight quantization is crucial for reducing the memory footprint of LLMs on devices. However, low-bit LLMs necessitate mixed p
Externí odkaz:
http://arxiv.org/abs/2407.00088