arXiv CS
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Improving the Energy-Efficiency of the Code Generated by LLMs through Effective Prompting
As AI-assisted programming becomes increasingly mainstream, the environmental impact of AI-generated software has emerged as an important consideration. This motivates evaluating LLM-generated code beyond functional correctness by considering execution efficiency and energy consumption. However, des
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