About
Hypogenic is a specialized framework designed to accelerate scientific discovery through automated hypothesis formulation and validation. It leverages large language models to systematically explore patterns in tabular datasets, supporting three distinct methodologies: data-driven generation (HypoGeniC), integrated literature and data synthesis (HypoRefine), and mechanistic union methods. Ideal for researchers working on complex empirical tasks like deception detection or content analysis, it optimizes the discovery pipeline with iterative refinement, parallel processing, and flexible template-based configurations.
