Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bao, Mengjiao"'
Autor:
Zhang, Xiaocheng, Wang, Xi, Lu, Yifei, Ye, Zhuangzhuang, Wang, Jianing, Bao, Mengjiao, Yan, Peng, Su, Xiaohong
Explanation generation plays a more pivotal role than fact verification in producing interpretable results and facilitating comprehensive fact-checking, which has recently garnered considerable attention. However, previous studies on explanation gene
Externí odkaz:
http://arxiv.org/abs/2410.15135
Iterative preference optimization has recently become one of the de-facto training paradigms for large language models (LLMs), but the performance is still underwhelming due to too much noisy preference data yielded in the loop. To combat this issue,
Externí odkaz:
http://arxiv.org/abs/2409.11212
With the growth of the economy and society, enterprises, especially in the FinTech industry, have increasing demands of outbound calls for customers such as debt collection, marketing, anti-fraud calls, and so on. But a large amount of repetitive and
Externí odkaz:
http://arxiv.org/abs/2206.10953
Akademický článek
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Publikováno v:
Plant Journal; Jun2024, Vol. 118 Issue 6, p2085-2093, 9p
Autor:
Peng, Hao, Bao, Mengjiao, Li, Jianxin *, Bhuiyan, Md Zakirul Alam, Liu, Yaopeng, He, Yu, Yang, Erica
Publikováno v:
In Future Generation Computer Systems September 2018 86:1503-1512
Publikováno v:
Future Generation Computer Systems. 86:1503-1512
Term representation methods as computable and semantic tools have been widely applied in social network analysis. This paper provides a new perspective that can incrementally factorize co-occurrence matrix to query latest semantic vectors. We divide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ec4b6af871d10db945050465d421d8f
https://doi.org/10.1016/j.future.2017.05.020
https://doi.org/10.1016/j.future.2017.05.020
Publikováno v:
IJCNN
Using machine to generate text has attracted considerable attention recently. However, low quality text generated by machine will seriously impact the user experience due to the poor readability. Traditional methods for detecting machine generated te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8de62e2f77d2cdce39f63db14902a048
https://doi.org/10.1109/ijcnn.2019.8852340
https://doi.org/10.1109/ijcnn.2019.8852340
Akademický článek
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