Javier André Ferro Pérez

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

Credit default prediction is a standard risk-management task, and large language models (LLMs) have been proposed as prompt-based alternatives, without task-specific parameter updating, for institutions that cannot deploy full machine learning (ML) pipelines. This study evaluates the Informed GPT on Colombian solidarit...