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An Extensive Empirical Study on Code Translation Technique
A large-scale empirical study comparing representative code translation techniques across methodological paradigms and translation granularities, which shows that LLMs and LLM-based methods generally outperform learning-based methods in method-level correctness, although similarity metrics alone do not reliably reflect functional correctness.