Zobrazeno 1 - 10
of 1 530
pro vyhledávání: '"YE Rong"'
Publikováno v:
Dianzi Jishu Yingyong, Vol 49, Iss 1, Pp 8-13 (2023)
In recent years, after the era of big data has entered human life, many unrecognizable text, semantic and other data have appeared in people's lives, which are very large in volume and intricate in semantics, which makes the classification task more
Externí odkaz:
https://doaj.org/article/fdbaf5d901694702bad891833f2d38da
Autor:
Mou, Xinyi, Liang, Jingcong, Lin, Jiayu, Zhang, Xinnong, Liu, Xiawei, Yang, Shiyue, Ye, Rong, Chen, Lei, Kuang, Haoyu, Huang, Xuanjing, Wei, Zhongyu
Large language models (LLMs) are increasingly leveraged to empower autonomous agents to simulate human beings in various fields of behavioral research. However, evaluating their capacity to navigate complex social interactions remains a challenge. Pr
Externí odkaz:
http://arxiv.org/abs/2410.19346
Publikováno v:
AIP Advances, Vol 12, Iss 6, Pp 065307-065307-9 (2022)
The ultra-high-speed permanent magnet motor has the characteristics of high-power density, small size, and high speed, but there are problems with it, such as generation of local excessive heat and obvious vibration and noise. In order to reduce the
Externí odkaz:
https://doaj.org/article/92055e19541048b690e3479b60de21c9
Publikováno v:
Open Chemistry, Vol 18, Iss 1, Pp 463-471 (2020)
Externí odkaz:
https://doaj.org/article/0c60a70779b1497aa370f6f002a107ac
Publikováno v:
Nukleonika, Vol 63, Iss 4, Pp 113-121 (2018)
The surveys of terrestrial gamma dose rate, radon concentration indoor and in water and specific activity of radionuclides of soil were carried out in 14 villages and a town in Xiangshan uranium deposit and surrounding area, Jiangxi province, Eastern
Externí odkaz:
https://doaj.org/article/cb1bf7b2548b42289a631d25ed978a52
Autor:
Liang, Jingcong, Ye, Rong, Han, Meng, Lai, Ruofei, Zhang, Xinyu, Huang, Xuanjing, Wei, Zhongyu
How can we construct an automated debate judge to evaluate an extensive, vibrant, multi-turn debate? This task is challenging, as judging a debate involves grappling with lengthy texts, intricate argument relationships, and multi-dimensional assessme
Externí odkaz:
http://arxiv.org/abs/2403.08010
Autor:
Lin, Jiayu, Ye, Rong, Han, Meng, Zhang, Qi, Lai, Ruofei, Zhang, Xinyu, Cao, Zhao, Huang, Xuanjing, Wei, Zhongyu
Counter-argument generation -- a captivating area in computational linguistics -- seeks to craft statements that offer opposing views. While most research has ventured into paragraph-level generation, sentence-level counter-argument generation beckon
Externí odkaz:
http://arxiv.org/abs/2312.13608
Given the great success of large language models (LLMs) across various tasks, in this paper, we introduce LLM-ST, a novel and effective speech translation model constructed upon a pre-trained LLM. By integrating the large language model (LLM) with a
Externí odkaz:
http://arxiv.org/abs/2312.13585
Autor:
Liang, Jingcong, Ye, Rong, Han, Meng, Zhang, Qi, Lai, Ruofei, Zhang, Xinyu, Cao, Zhao, Huang, Xuanjing, Wei, Zhongyu
The knowledge graph is a structure to store and represent knowledge, and recent studies have discussed its capability to assist language models for various applications. Some variations of knowledge graphs aim to record arguments and their relations
Externí odkaz:
http://arxiv.org/abs/2312.00874
Recent advancements in Large Language Models (LLMs) showcase advanced reasoning, yet NLP evaluations often depend on static benchmarks. Evaluating this necessitates environments that test strategic reasoning in dynamic, competitive scenarios requirin
Externí odkaz:
http://arxiv.org/abs/2310.05746