LLM Based Long Code Translation using Identifier Replacement
PositiveArtificial Intelligence
A new method for code translation using large language models (LLMs) has been proposed, addressing the common issue of inaccurate translations for long source codes. This innovative zero-shot approach incorporates identifier replacement, allowing for better functionality preservation during the translation process. This advancement is significant as it enhances the efficiency of software development, making it easier for developers to work across different programming languages without losing the essence of the original code.
— Curated by the World Pulse Now AI Editorial System


