Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Liu, Bingquan"'
Autor:
Li, Shaobo, Li, Xiaoguang, Shang, Lifeng, Sun, Chengjie, Liu, Bingquan, Ji, Zhenzhou, Jiang, Xin, Liu, Qun
Previous works show that Pre-trained Language Models (PLMs) can capture factual knowledge. However, some analyses reveal that PLMs fail to perform it robustly, e.g., being sensitive to the changes of prompts when extracting factual knowledge. To miti
Externí odkaz:
http://arxiv.org/abs/2210.11165
Autor:
Li, Shaobo, Li, Xiaoguang, Shang, Lifeng, Dong, Zhenhua, Sun, Chengjie, Liu, Bingquan, Ji, Zhenzhou, Jiang, Xin, Liu, Qun
Recently, there has been a trend to investigate the factual knowledge captured by Pre-trained Language Models (PLMs). Many works show the PLMs' ability to fill in the missing factual words in cloze-style prompts such as "Dante was born in [MASK]." Ho
Externí odkaz:
http://arxiv.org/abs/2203.16747
Autor:
Li, Shaobo, Liu, Qun, Jiang, Xin, Yin, Yichun, Sun, Chengjie, Liu, Bingquan, Ji, Zhenzhou, Shang, Lifeng
Human-designed rules are widely used to build industry applications. However, it is infeasible to maintain thousands of such hand-crafted rules. So it is very important to integrate the rule knowledge into neural networks to build a hybrid model that
Externí odkaz:
http://arxiv.org/abs/2109.02882
Autor:
Li, Shaobo, Li, Xiaoguang, Shang, Lifeng, Jiang, Xin, Liu, Qun, Sun, Chengjie, Ji, Zhenzhou, Liu, Bingquan
Collecting supporting evidence from large corpora of text (e.g., Wikipedia) is of great challenge for open-domain Question Answering (QA). Especially, for multi-hop open-domain QA, scattered evidence pieces are required to be gathered together to sup
Externí odkaz:
http://arxiv.org/abs/2012.15534
Publikováno v:
In Expert Systems With Applications 15 December 2023 233
Publikováno v:
In Environmental Pollution 15 June 2023 327
Autor:
Liu, Bingquan, Li, Liyun, Guo, Yanshuang, Liu, Peng, Cheng, Cheng, Jiao, Xiaojie, Fan, Shuaijie
Publikováno v:
In Polymer Testing January 2023 117
Publikováno v:
矿业科学学报, Vol 7, Iss 4, Pp 474-480 (2022)
Due to the exploitation of mineral resources in the deep underground space, it is more and more important to study the variation trend of deep in-situ stress field. In recent years the researches have updated many in-situ stress data. It is necessary
Externí odkaz:
https://doaj.org/article/481f674522be41dabff75519c469de02
Akademický článek
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Autor:
Guo, Kun, Wang, Xiaoyuan, Chen, Shuai, Shang, Luning, Liu, Bingquan, Zhang, Xia, Lai, Zhiqing
Publikováno v:
In LITHOS May 2022 416-417