概要
Hypogenic is a specialized framework designed to accelerate scientific discovery by automating the hypothesis lifecycle through large language models. It provides researchers with three distinct approaches: HypoGeniC for purely data-driven discovery, HypoRefine for synthesizing research literature with empirical data, and Union methods for comprehensive theoretical coverage. By systematically exploring and testing multiple competing theories, Hypogenic enables rigorous discovery in complex domains like deception detection, AI content analysis, and mental health research, often outperforming traditional few-shot baselines.
