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PerfCoder: Large Language Models for Interpretable Code Performance Optimization

Published in ArXiv.org • Dec 16, 2025
Authors:
Jiuding Yang
,
Shengyao Lu
,
Hongxuan Liu

Abstract

Large language models (LLMs) have achieved remarkable progress in automatic code generation, yet their ability to produce high-performance code remains limited--a critical requirement in real-world software systems. We argue that current LLMs struggle not only due to data scarcity but, more importan...

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