Information Extraction from Electricity Invoices with General-Purpose Large Language Models

This study evaluates general-purpose LLMs like Gemini 1.5 Pro and Mistral-small for information extraction from Spanish electricity invoices, demonstrating that prompt quality is paramount over hyperparameter tuning. It shows few-shot strategies yield significantly better results than zero-shot approaches, with a performance gap exceeding 19 percentage points.