reviewACM Computing SurveysMar 7, 2024Closed access

Pre-Trained Language Models for Text Generation: A Survey

Université de Montréal · Renmin University of China

Indexed incrossref

Abstract

Text Generation aims to produce plausible and readable text in human language from input data. The resurgence of deep learning has greatly advanced this field, in particular, with the help of neural generation models based on pre-trained language models (PLMs). Text generation based on PLMs is viewed as a promising approach in both academia and industry. In this article, we provide a survey on the utilization of PLMs in text generation. We begin with introducing two key aspects of applying PLMs to text generation: (1) how to design an effective PLM to serve as the generation model; and (2) how to effectively optimize PLMs given the reference text and to ensure that the generated texts satisfy special text…

Citation impact

172
total citations
FWCI
53.50
Percentile
100%
References
111
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Text generation
  • Key (lock)
  • Artificial intelligence
  • Field (mathematics)
  • Language model
  • Deep learning
  • Data science
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Funding