Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats

This research explores the use of lightweight Large Language Models (LLMs) for Biomedical Named Entity Recognition, demonstrating their competitive performance against larger models. The study highlights their potential as resource-efficient alternatives and identifies specific output formats that consistently improve performance.