Zobrazeno 1 - 10
of 374
pro vyhledávání: '"Zhang, Qiyuan"'
Comprehensively understanding and accurately predicting the performance of large language models across diverse downstream tasks has emerged as a pivotal challenge in NLP research. The pioneering scaling law on downstream works demonstrated intrinsic
Externí odkaz:
http://arxiv.org/abs/2407.01300
We investigate the behavior of heat conduction in two-dimensional (2D) electron gases without and with a magnetic field. We perform simulations with the Multi-Particle-Collision approach, suitably adapted to account for the Lorenz force acting on the
Externí odkaz:
http://arxiv.org/abs/2406.16067
This extended abstract introduces the initial steps taken to develop a system for Rapid Internal Simulation of Knowledge (RISK). RISK aims to enable more transparency in artificial intelligence systems, especially those created by deep learning netwo
Externí odkaz:
http://arxiv.org/abs/2208.07306
Autor:
E, Mandi1 (AUTHOR), Zhang, Qiyuan2 (AUTHOR) qiyuan11@scut.edu.cn, Zhou, Kevin Zheng3 (AUTHOR), Zhang, Chuang1 (AUTHOR)
Publikováno v:
Asia Pacific Journal of Management. Jun2024, Vol. 41 Issue 2, p583-614. 32p.
Publikováno v:
The International Journal of Logistics Management, 2022, Vol. 34, Issue 5, pp. 1276-1300.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJLM-09-2021-0455
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation May 2024 129
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects. First, we lack QA datasets covering complex ques
Externí odkaz:
http://arxiv.org/abs/2109.10604
Autor:
Lan, Yihuai, Wang, Lei, Zhang, Qiyuan, Lan, Yunshi, Dai, Bing Tian, Wang, Yan, Zhang, Dongxiang, Lim, Ee-Peng
Developing automatic Math Word Problem (MWP) solvers has been an interest of NLP researchers since the 1960s. Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs. Howev
Externí odkaz:
http://arxiv.org/abs/2109.00799
Autor:
Fan, Jie, Wang, Lei, Zhang, Zhen, Liu, Ming, Cao, Xinyue, Gong, Min, Tang, Qiuping, She, Chao, Qi, Fang, Si, Hucheng, Song, Dan, Zhang, Qiyuan, Xie, Peng
Publikováno v:
In Renewable Energy September 2024 230
Autor:
Yang, Yiqin, Ma, Xiaoteng, Li, Chenghao, Zheng, Zewu, Zhang, Qiyuan, Huang, Gao, Yang, Jun, Zhao, Qianchuan
Learning from datasets without interaction with environments (Offline Learning) is an essential step to apply Reinforcement Learning (RL) algorithms in real-world scenarios. However, compared with the single-agent counterpart, offline multi-agent RL
Externí odkaz:
http://arxiv.org/abs/2106.03400