Ontology-Based LLM Prompting for Construction Activity Recognition: 73.68% Accuracy With No Training Data
Researchers at Technische Universität Berlin and Qingdao University of Technology achieved 73.68% construction activity recognition accuracy using pure prompting — no labeled training data, no fine-tuning, just a domain ontology, structured visual extraction, and carefully engineered in-context examples.
