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An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models.

Jiaxing LiuChaofeng ShaXin Peng
Published in: ASE (2023)
Keyphrases
  • fine tuning
  • viable alternative
  • probabilistic model
  • learning algorithm
  • decision trees
  • prior knowledge
  • statistical model
  • pre trained