Zobrazeno 1 - 10
of 305
pro vyhledávání: '"XU Shusheng"'
Publikováno v:
Frontiers in Marine Science, Vol 9 (2023)
In this study, we aimed to provide policy advice that supports continuous ecological restoration and coastal economic development. Our analysis indicated that insufficient funds and space are the main problems in mangrove restoration projects in Chin
Externí odkaz:
https://doaj.org/article/972041910dff4a4cb3c552c371251845
Autor:
Gao, Jiaxuan, Xu, Shusheng, Ye, Wenjie, Liu, Weilin, He, Chuyi, Fu, Wei, Mei, Zhiyu, Wang, Guangju, Wu, Yi
Reward models have been increasingly critical for improving the reasoning capability of LLMs. Existing research has shown that a well-trained reward model can substantially improve model performances at inference time via search. However, the potenti
Externí odkaz:
http://arxiv.org/abs/2410.15115
Publikováno v:
He jishu, Vol 46, Iss 4, Pp 040009-040009 (2023)
The quantum chromodynamics (QCD) phase diagram is of great interest to researchers in the field of high energy nuclear physics. We review the present research status of several aspects of this topic. This review includes the search for the phase tran
Externí odkaz:
https://doaj.org/article/913f1ed520eb41b0b00ee6e4161f943d
Autor:
Xu, Shusheng, Fu, Wei, Gao, Jiaxuan, Ye, Wenjie, Liu, Weilin, Mei, Zhiyu, Wang, Guangju, Yu, Chao, Wu, Yi
Publikováno v:
ICML 2024
Reinforcement Learning from Human Feedback (RLHF) is currently the most widely used method to align large language models (LLMs) with human preferences. Existing RLHF methods can be roughly categorized as either reward-based or reward-free. Novel app
Externí odkaz:
http://arxiv.org/abs/2404.10719
Publikováno v:
2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
We aim to control a robot to physically behave in the real world following any high-level language command like "cartwheel" or "kick". Although human motion datasets exist, this task remains particularly challenging since generative models can produc
Externí odkaz:
http://arxiv.org/abs/2306.10518
Autor:
Liu, Xingnan, Le, Kai, Yang, Weijie, Liu, Yuzhen, Luo, Yong, Zheng, Xingwen, Chen, Hui, Xu, Shusheng, Liu, Weimin
Publikováno v:
In Applied Surface Science 12 November 2024 673
Autor:
Liu, Yuzhen, Le, Kai, Han, Jae-Ho, Teng, Hao, Xiu, Zhixin, Chan Jung, Young, Xu, Shusheng, Kim, Dae-Eun
Publikováno v:
In Carbon November 2024 230
Autor:
Yu, Shangjing, Yang, Chao, Wang, Wenyun, Han, Daotong, Qi, Wentao, Ling, Rui, Xu, Shusheng, Liu, Guangqiang
Publikováno v:
In Journal of Industrial and Engineering Chemistry 25 October 2024 138:415-423
Autor:
Liu, Xuanrui, Le, Kai, Wang, Jiandong, Lin, Hao, Liu, Yuzhen, Jiang, Fengchun, Yang, Zhenlin, Li, Haixin, Xu, Shusheng, Liu, Weimin
Publikováno v:
In Applied Surface Science 30 September 2024 668
We present Native Chinese Reader (NCR), a new machine reading comprehension (MRC) dataset with particularly long articles in both modern and classical Chinese. NCR is collected from the exam questions for the Chinese course in China's high schools, w
Externí odkaz:
http://arxiv.org/abs/2112.06494