LLM4EFFI introduces a novel approach that focuses on algorithmic optimization rather than just code correctness, achieving significant performance improvements in AI-generated code.

• Addresses the efficiency gap in current Code LLMs that primarily focus on correctness
• Uses a multi-step process where LLMs suggest different algorithmic solutions, not just incremental improvements
• Improves code performance while maintaining functional correctness
• Mimics human developers' approach to code optimization by considering multiple implementation strategies

This research is particularly valuable for Engineering teams as it can substantially reduce computational resource requirements and execution time in production code, leading to more sustainable and cost-effective software solutions.

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness