A structured taxonomy of Qiskit migration scenarios improves GPT-4's line-level refactoring precision from 0.32 to 0.55 and recall from 0.35 to 0.62 on 25 synthetic snippets.
An Empirical Study on the Code Refactoring Capability of Large Language Models, November
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Automatic Qiskit Code Refactoring Using Large Language Models
A structured taxonomy of Qiskit migration scenarios improves GPT-4's line-level refactoring precision from 0.32 to 0.55 and recall from 0.35 to 0.62 on 25 synthetic snippets.