Reasoning vs. Critic-Based Verification for Biomedical Relation Extraction with Large Language Models
A critic-based verification mechanism where a second “critic” prompt reviews and verifies extracted relations is investigated, demonstrating that this approach is highly effective, reducing false positives by 58.5% and achieving 74.1% precision with top models, competitive with supervised methods.