Comparing Few-Shot Learning with LLMs for Efficient Text Classification in Road Maintenance Applications
Full paper published here (from the Proceedings of the 42nd International Symposium on Automation and Robotics in Construction).
This paper investigates fine-tuning open-source LLMs for technical text classification with few-shot learning, and comparing it to popular techniques such as SetFit.