Zobrazeno 1 - 10
of 2 692
pro vyhledávání: '"Bao Rong"'
Publikováno v:
International Journal of Mechanical System Dynamics, Vol 2, Iss 1, Pp 3-26 (2022)
Abstract The multibody system transfer matrix method (MSTMM), a novel dynamics approach developed during the past three decades, has several advantages compared to conventional dynamics methods. Some of these advantages include avoiding global dynami
Externí odkaz:
https://doaj.org/article/4ef6178cd2ae46e5b28b349a80e80855
Autor:
Bao, Rong, Zheng, Rui, Dou, Shihan, Wang, Xiao, Zhou, Enyu, Wang, Bo, Zhang, Qi, Ding, Liang, Tao, Dacheng
In aligning large language models (LLMs), utilizing feedback from existing advanced AI rather than humans is an important method to scale supervisory signals. However, it is highly challenging for AI to understand human intentions and societal values
Externí odkaz:
http://arxiv.org/abs/2406.11190
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4631 (2022)
Simple regression cannot wholly analyze large-scale wafer backside wall chipping because the wafer grinding process encounters many problems, such as collected data missing, data showing a non-linear distribution, and correlated hidden parameters los
Externí odkaz:
https://doaj.org/article/0f4d7b3bb9fc4c219ba6777004afb607
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 17 (2021)
This study aims to use two unmanned vehicles (aerial vehicles and ground vehicles) to implement multi-machine cooperation to complete the assigned tasks quickly. Unmanned aerial/ground vehicles can call each other to send instant inquiry messages usi
Externí odkaz:
https://doaj.org/article/78850fac97c0429e90bdd6b3d132edcb
Despite the success of reinforcement learning from human feedback (RLHF) in aligning language models with human values, reward hacking, also termed reward overoptimization, remains a critical challenge. This issue primarily arises from reward misgene
Externí odkaz:
http://arxiv.org/abs/2402.09345
Autor:
Wang, Xiao, Chen, Tianze, Ge, Qiming, Xia, Han, Bao, Rong, Zheng, Rui, Zhang, Qi, Gui, Tao, Huang, Xuanjing
Benefiting from massive corpora and advanced hardware, large language models (LLMs) exhibit remarkable capabilities in language understanding and generation. However, their performance degrades in scenarios where multiple tasks are encountered sequen
Externí odkaz:
http://arxiv.org/abs/2310.14152
Autor:
Zheng, Rui, Bao, Rong, Zhou, Yuhao, Liang, Di, Wang, Sirui, Wu, Wei, Gui, Tao, Zhang, Qi, Huang, Xuanjing
Recent works on Lottery Ticket Hypothesis have shown that pre-trained language models (PLMs) contain smaller matching subnetworks(winning tickets) which are capable of reaching accuracy comparable to the original models. However, these tickets are pr
Externí odkaz:
http://arxiv.org/abs/2211.03013
Publikováno v:
Applied Sciences, Vol 8, Iss 9, p 1514 (2018)
This paper first integrates big data tools—Hive, Impala, and SparkSQL—which support SQL-like queries for rapid data retrieval in big data. The three introduced tools are not only suitable for operating in business intelligence to serve high-perfo
Externí odkaz:
https://doaj.org/article/820f70826975460fb411fc1a75a69be2
Autor:
Dai, Jingjing, Xie, Liancheng, Wang, Weijun, Xin, Jijun, Li, Bixi, Bao, Rong, Huang, Yining, Huang, Chuanjun, Sun, Wentao, Wang, Wei, Shi, Li, Shan, Xinran, Li, Laifeng
Publikováno v:
In Cryogenics October 2024 143
Publikováno v:
In Cryogenics October 2024 143