Overview of Controlled Text Generation Based on Pre-trained Models

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更新时间：2024-05-16

- Overview of Controlled Text Generation Based on Pre-trained Models
- “自然语言生成（NLG）作为AI领域的热点，近年来取得显著进展。研究者通过架构扩展、微调和提示学习等方法，提升了预训练语言模型（PLMs）的性能。尽管面临非结构化输入和低资源语言生成的挑战，NLG在内容创作、自动新闻报导等领域已展现潜力。随着技术进步，NLG将在自然语言处理和人工智能领域扮演更重要角色，推动行业发展。”
  
  ”
- Software Guide Vol. 23, Issue 4, Pages: 199-207(2024)
- 作者机构：
  
  1.北京信息科技大学计算机学院，北京 100101
  2.拓尔思信息技术股份有限公司，北京 100096
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231393
  CLC： TP391.1
- Published：15 April 2024，
  
  Received：24 May 2023，
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周强伟,施水才,王洪俊.基于预训练模型的受控文本生成研究综述[J].软件导刊,2024,23(04):199-207.

ZHOU Qiangwei,SHI Shuicai,WANG Hongjun.Overview of Controlled Text Generation Based on Pre-trained Models[J].Software Guide,2024,23(04):199-207.
周强伟,施水才,王洪俊.基于预训练模型的受控文本生成研究综述[J].软件导刊,2024,23(04):199-207. DOI： 10.11907/rjdk.231393.

ZHOU Qiangwei,SHI Shuicai,WANG Hongjun.Overview of Controlled Text Generation Based on Pre-trained Models[J].Software Guide,2024,23(04):199-207. DOI： 10.11907/rjdk.231393.

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