Rectifier: Code Translation with Corrector via LLMs

Understand

Software migration is garnering increasing attention with the evolution of software and society.

• Early studies mainly relied on handcrafted translation rules to translate between two languages, the translation process is error-prone and time-consuming.
• In recent years, researchers have begun to explore the use of pre-trained large language models (LLMs) in code translation.
• However, code translation is a complex task that LLMs would generate mistakes during code translation, they all produce certain types of errors when performing code translation tasks, which include (1) compilation error, (2) runtime error, (3) functional error, and (4) non-terminating execution.