
SLM Ensembles: Smarter, Smaller AI for Code Debugging
Harnessing small language models to efficiently locate software bugs
COSMosFL demonstrates how ensembles of smaller, open-source language models can effectively compete with large closed-source models for software fault localization.
- Combines multiple small language models to achieve performance comparable to larger models
- Reduces deployment costs, energy consumption, and security concerns
- Enables local deployment without compromising effectiveness
- Demonstrates practical viability for software engineering tools without reliance on massive language models
This research matters because it provides an accessible, cost-effective approach for building AI-powered debugging tools that respects privacy concerns while maintaining high performance standards.
COSMosFL: Ensemble of Small Language Models for Fault Localisation