1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2025★ 1 cited
AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code
Lola Solovyeva, Sophie Weidmann, Fernando Castor
Large language models (LLMs) are used in software development to assist in various tasks, e.g., code generation and code completion, but empirical evaluations of the quality of the…
cs.SE2025
The Cost of AI-Assisted Coding: An Extensive Investigation of Energy vs. Accuracy in Language Models
Negar Alizadeh, Boris Belchev, Nishant Saurabh +2
Developers increasingly rely on generative AI-based coding assistants such as ChatGPT and GitHub Copilot in their workflows. While many such tools are accessible via remote APIs, d…