BioAlchemy: Extracting Reasoning Training Data from Biological Literature to Build Professional Scientific Reasoning Models

Introduction / Main Floor: BioAlchemy: Extracting Reasoning Training Data from Biological Literature to Build Professional Scientific Reasoning Models

This article proposes the BioAlchemy process, which extracts verifiable scientific reasoning questions from biological research literature, constructs a professional dataset of 345,000 entries, trains the BioAlchemist-8B model through topic alignment and reinforcement learning, and achieves a 9.12% improvement on biological benchmark tests.