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ReCode: Updating Code API Knowledge with Reinforcement Learning

arXiv — cs.LG•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
ReCode represents a significant advancement in the field of artificial intelligence, particularly in enhancing the capabilities of Large Language Models (LLMs) for code generation. Traditional LLMs struggle to keep pace with frequent updates in external library APIs, which can hinder their effectiveness in dynamic programming environments. The introduction of ReCode, a framework that employs reinforcement learning, aims to mimic human adaptability to these changes. By training on a dataset of around 2,000 entries, ReCode has demonstrated a substantial improvement in LLMs' performance, especially in tasks like CodeUpdateArena that require real-time adaptation to API changes. This is particularly noteworthy as it allows LLMs to maintain their general code generation abilities while improving their responsiveness to updates, a balance that is often difficult to achieve with supervised fine-tuning methods. The success of ReCode not only enhances the practical applications of LLMs in softwa…
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