Javier André Ferro Pérez

Credit Default Prediction Using Large Language Models and Machine Learning: An Application to Colombia’s Solidarity Sector

The findings qualify earlier claims about LLM auditability and position the approach as an assessment tool for cooperatives with fewer than ≈100 labelled defaults, rather than as a substitute for a well-resourced ML pipeline.