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Improve the Diversity and Novelty for Open-Ended Neural Text Generation via Inverse Probability Weighting.

Xinran ZhangMaosong SunJiafeng LiuXiaobing Li
Published in: NLPCC (1) (2023)
Keyphrases
  • open ended
  • text generation
  • learning outcomes
  • neural network
  • multiple choice
  • natural language generation
  • probability distribution
  • learning experience
  • multi agent
  • software agents
  • network architecture