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pro vyhledávání: '"Liang, Zhengzhong"'
Languages models have been successfully applied to a variety of reasoning tasks in NLP, yet the language models still suffer from compositional generalization. In this paper we present Explainable Verbal Reasoner Plus (EVR+), a reasoning framework th
Externí odkaz:
http://arxiv.org/abs/2305.00061
Publikováno v:
In Fuel 1 January 2025 379
Considerable progress has been made recently in open-domain question answering (QA) problems, which require Information Retrieval (IR) and Reading Comprehension (RC). A popular approach to improve the system's performance is to improve the quality of
Externí odkaz:
http://arxiv.org/abs/2205.03685
Autor:
You, Jiyuan, Zhou, Xiaohu, Yang, Yiyao, Song, Shanshan, Liu, Yiqun, Liang, Zhengzhong, Bai, Yunyun
Publikováno v:
In International Journal of Sediment Research December 2024 39(6):960-970
Publikováno v:
In Geoenergy Science and Engineering April 2024 235
Evidence retrieval is a key component of explainable question answering (QA). We argue that, despite recent progress, transformer network-based approaches such as universal sentence encoder (USE-QA) do not always outperform traditional information re
Externí odkaz:
http://arxiv.org/abs/2009.10791
Publikováno v:
In Neural Networks December 2018 108:365-378
Akademický článek
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Autor:
Zhu Guo-fang, Liang Zhengzhong
Publikováno v:
2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).
In this paper a simplified zero-sequence model of a medium-voltage network with three-core cables is proposed. The model is then used to analyze the distribution of earth currents in the network when a phase-to-ground fault occurs in the line between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f4426e3255c61e17dbba8d5b51b3dab
https://doi.org/10.1109/isgt-asia.2015.7387029
https://doi.org/10.1109/isgt-asia.2015.7387029
Publikováno v:
Geoenergy Science and Engineering; 20240101, Issue: Preprints