소개
Hypogenic is a sophisticated research framework designed to accelerate scientific discovery by automating the hypothesis lifecycle through Large Language Models. It enables researchers to generate testable hypotheses using three distinct methodologies: data-driven discovery (HypoGeniC), synergistic literature-data integration (HypoRefine), and mechanistic union methods. By combining observational patterns with theoretical foundations extracted from research papers via GROBID, Hypogenic facilitates rigorous empirical analysis in complex domains such as deception detection, AI content identification, and mental health research, offering significant performance improvements over traditional few-shot baselines.
