Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ennen, Philipp"'
Autor:
Ennen, Philipp, Hsu, Po-Chun, Hsu, Chan-Jan, Liu, Chang-Le, Wu, Yen-Chen, Liao, Yin-Hsiang, Lin, Chin-Tung, Shiu, Da-Shan, Ma, Wei-Yun
In this paper we present the multilingual language model BLOOM-zh that features enhanced support for Traditional Chinese. BLOOM-zh has its origins in the open-source BLOOM models presented by BigScience in 2022. Starting from released models, we exte
Externí odkaz:
http://arxiv.org/abs/2303.04715
Autor:
Ennen, Philipp, Lin, Yen-Ting, Ozbay, Ali Girayhan, Insalata, Ferdinando, Li, Maolin, Tian, Ye, Jalali, Sepehr, Shiu, Da-shan
In a dialogue system pipeline, a natural language generation (NLG) unit converts the dialogue direction and content to a corresponding natural language realization. A recent trend for dialogue systems is to first pre-train on large datasets and then
Externí odkaz:
http://arxiv.org/abs/2105.10267
Guided Policy Search enables robots to learn control policies for complex manipulation tasks efficiently. Therein, the control policies are represented as high-dimensional neural networks which derive robot actions based on states. However, due to th
Externí odkaz:
http://arxiv.org/abs/1809.05714
Publikováno v:
In Procedia Manufacturing 2017 11:329-337
Publikováno v:
In Procedia CIRP 2016 51:57-62
Publikováno v:
In Procedia CIRP 2014 20:62-66
Publikováno v:
2016 IEEE International Conference on Robotics & Automation (ICRA); 2016, p1873-1878, 6p
Publikováno v:
Automation, Communication & Cybernetics in Science & Engineering 2015/2016; 2016, p479-489, 11p
Autor:
Nauck, Christian
Publikováno v:
Aachen 96 Seiten (2020). doi:10.18154/RWTH-2021-00351 = Masterarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2020
Masterarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2020; Aachen 96 Seiten (2020). doi:10.18154/RWTH-2021-00351 = Masterarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2020
Published by Aachen
Published by Aachen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d228b23d72bd258e0d55cb116c8c78f