Titlebook: Image and Graphics; 12th International C Huchuan Lu,Wanli Ouyang,Min Xu Conference proceedings 2023 The Editor(s) (if applicable) and The A

爭(zhēng)吵

Junming Zhang,Jian Su,Tao Lei,Xiaogang Du,Yong Wan,Chenxia Li,Sijia Wen,Weiqiang Zhaosk. Unlike prior RL-based RE approaches that usually fit value functions or compute policy gradients, TERL only outputs the best actions by utilizing a masked Transformer. Experimental results show that the proposed TERL framework can improve many state-of-the-art RL-based RE methods.

反復(fù)拉緊

and showing superior performance. Experiments on the HotpotQA dataset demonstrate that the effectiveness of our proposed QG module, human evaluation further clarifies its interpretability quantitatively, and thorough analysis shows that the QG module could generate better sub-questions than QD metho

Genome

Xingjian Zhang,Shaohuai Yu,Xinghua Li,Shuang Li,Zhenyu Tantion errors decrease significantly after English sentences are parsed into NT clauses. This result reveals that non-SV clauses are the main source of MT errors, and suggests that English long sentences should be parsed into NT clauses before they are translated.

Benzodiazepines

CUMB

離開(kāi)真充足

Qinglin Zhou,Qiong Liu,Fen Chen,Ling Wang,Zongju Pengtion errors decrease significantly after English sentences are parsed into NT clauses. This result reveals that non-SV clauses are the main source of MT errors, and suggests that English long sentences should be parsed into NT clauses before they are translated.

HAVOC

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