4 papers
Babbling Suppression: Making LLMs Greener One Token at a Time
Lola Solovyeva, Fernando Castor
Context: Large Language Models (LLMs) are increasingly used in modern software development, aiding in code generation, code completion, and refactoring through AI-powered assistant…
Towards Green AI: Decoding the Energy of LLM Inference in Software Development
Lola Solovyeva, Fernando Castor
Context: AI-assisted tools are increasingly integrated into software development workflows, but their reliance on large language models (LLMs) introduces substantial computational…
Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
Lola Solovyeva, Eduardo Carneiro Oliveira, Shiyu Fan +3
The VT legacy system, comprising approximately 2.5 million lines of PL/SQL code, lacks consistent documentation and automated tests, posing significant challenges for refactoring a…
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…