2024

Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead

Shi, Jieke, Yang, Zhou, Lo, David

Understand

Large Language Models (LLMs) have recently shown remarkable capabilities in various software engineering tasks, spurring the rapid growth of the Large Language Models for Software Engineering (LLM4SE) area.

  • However, limited attention has been paid to developing efficient LLM4SE techniques that demand minimal computational cost, time, and memory resources, as well as green LLM4SE solutions that reduce energy consumption, water usage, and carbon emissions.
  • This paper aims to redirect the focus of the research community towards the efficiency and greenness of LLM4SE, while also sharing potential research directions to achieve this goal.
  • It commences with a brief overview of the significance of LLM4SE and highlights the need for efficient and green LLM4SE solutions.

Reading the bibliography…