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Code Repair with LLMs gives an Exploration-Exploitation Tradeoff.

Hao TangKeya HuJin Peng ZhouSicheng ZhongWei-Long ZhengXujie SiKevin Ellis
Published in: CoRR (2024)
Keyphrases
  • exploration exploitation tradeoff
  • source code
  • function approximation
  • error detection
  • machine learning
  • neural network
  • information retrieval
  • decision trees
  • semi supervised
  • relevance feedback
  • code generation