28 citations · 28 across the 2 of their papers we have counts for
3 papers
cs.SE2026
Green AI: Cost of LLM-Based Code Completion
Negar Alizadeh, Nishant Saurabh, Fernando Castor
Code completion is one of the most widely used applications of large language models (LLMs) in software development. Open-weight LLMs are increasingly adopted for locally deployed…
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…
cs.SE2024★ 28 cited
Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Negar Alizadeh, Fernando Castor
Deep Learning (DL) frameworks such as PyTorch and TensorFlow include runtime infrastructures responsible for executing trained models on target hardware, managing memory, data tran…