Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Xi, Chenyang"'
Autor:
Wu, Yiquan, Tang, Bo, Xi, Chenyang, Yu, Yu, Wang, Pengyu, Liu, Yifei, Kuang, Kun, Deng, Haiying, Li, Zhiyu, Xiong, Feiyu, Hu, Jie, Cheng, Peng, Wang, Zhonghao, Wang, Yi, Luo, Yi, Yang, Mingchuan
Commentary provides readers with a deep understanding of events by presenting diverse arguments and evidence. However, creating commentary is a time-consuming task, even for skilled commentators. Large language models (LLMs) have simplified the proce
Externí odkaz:
http://arxiv.org/abs/2408.11609
Autor:
Yang, Hongkang, Lin, Zehao, Wang, Wenjin, Wu, Hao, Li, Zhiyu, Tang, Bo, Wei, Wenqiang, Wang, Jinbo, Tang, Zeyun, Song, Shichao, Xi, Chenyang, Yu, Yu, Chen, Kai, Xiong, Feiyu, Tang, Linpeng, E, Weinan
The training and inference of large language models (LLMs) are together a costly process that transports knowledge from raw data to meaningful computation. Inspired by the memory hierarchy of the human brain, we reduce this cost by equipping LLMs wit
Externí odkaz:
http://arxiv.org/abs/2407.01178
Autor:
Liang, Xun, Niu, Simin, li, Zhiyu, Zhang, Sensen, Song, Shichao, Wang, Hanyu, Yang, Jiawei, Xiong, Feiyu, Tang, Bo, Xi, Chenyang
Retrieval-Augmented Generation (RAG) offers a cost-effective approach to injecting real-time knowledge into large language models (LLMs). Nevertheless, constructing and validating high-quality knowledge repositories require considerable effort. We pr
Externí odkaz:
http://arxiv.org/abs/2405.16933
Offline reinforcement learning (RL) has increasingly become the focus of the artificial intelligent research due to its wide real-world applications where the collection of data may be difficult, time-consuming, or costly. In this paper, we first pro
Externí odkaz:
http://arxiv.org/abs/2105.05473
Publikováno v:
In Thin-Walled Structures November 2023 192
Publikováno v:
In Applied Acoustics October 2023 213
Publikováno v:
In Transportation Research Part E September 2023 177
Intelligent motion planning is one of the core components in automated vehicles, which has received extensive interests. Traditional motion planning methods suffer from several drawbacks in terms of optimality, efficiency and generalization capabilit
Externí odkaz:
http://arxiv.org/abs/1904.08784
Publikováno v:
In Ceramics International 1 April 2022 48(7):9362-9370
Publikováno v:
Journal of Applied Physics; 7/14/2023, Vol. 134 Issue 2, p1-12, 12p