Zobrazeno 1 - 10
of 854
pro vyhledávání: '"Chen, Liangliang"'
Excavators are crucial for diverse tasks such as construction and mining, while autonomous excavator systems enhance safety and efficiency, address labor shortages, and improve human working conditions. Different from the existing modularized approac
Externí odkaz:
http://arxiv.org/abs/2405.05861
Reinforcement learning (RL) has demonstrated its capability in solving various tasks but is notorious for its low sample efficiency. In this paper, we propose RLingua, a framework that can leverage the internal knowledge of large language models (LLM
Externí odkaz:
http://arxiv.org/abs/2403.06420
Publikováno v:
26th European Conference on Artificial Intelligence ECAI 2023
In the sequential recommendation task, the recommender generally learns multiple embeddings from a user's historical behaviors, to catch the diverse interests of the user. Nevertheless, the existing approaches just extract each interest independently
Externí odkaz:
http://arxiv.org/abs/2310.10025
Publikováno v:
IEEE Transactions on Automation Science and Engineering, 2022
Balancing the trade-off between safety and efficiency is of significant importance for path planning under uncertainty. Many risk-aware path planners have been developed to explicitly limit the probability of collision to an acceptable bound in uncer
Externí odkaz:
http://arxiv.org/abs/2205.06951
Publikováno v:
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Massive false rumors emerging along with breaking news or trending topics severely hinder the truth. Existing rumor detection approaches achieve promising performance on the yesterday's news, since there is enough corpus collected from the same domai
Externí odkaz:
http://arxiv.org/abs/2204.08143
Publikováno v:
In Chemical Physics 1 July 2024 583
Autor:
Zhang, Juan, Zheng, Wanting, Zhang, Xin, Zhang, Libing, Shao, Hehong, Zhu, Xiuwei, Chen, Liangliang
Publikováno v:
In Materials Today Communications June 2024 39
Rumors are rampant in the era of social media. Conversation structures provide valuable clues to differentiate between real and fake claims. However, existing rumor detection methods are either limited to the strict relation of user responses or over
Externí odkaz:
http://arxiv.org/abs/2110.04522
Autor:
Yang, Guangping, Wang, Yingnan, Hu, Saifei, Chen, Jianhua, Chen, Liangliang, Miao, Hui, Li, Na, Luo, Hui, He, Yanni, Qian, Yun, Miao, Congxiu, Feng, Ruizhi
Publikováno v:
In BBA - Molecular Basis of Disease October 2024 1870(7)
Autor:
Lin, Yuxin, Han, Quan, Chen, Liangliang, Wang, Yaomin, Ren, Pingping, Liu, Guangjun, Lan, Lan, Lei, Xin, Chen, Jianghua, Han, Fei
Publikováno v:
In Kidney Medicine August 2024 6(8)