LLMs Learn to Preserve Scientific Meaning Through Structured JSON

This research demonstrates that LLMs can effectively encode scientific knowledge into hierarchical JSON formats while retaining semantic information. The ability to structure scientific text in machine-readable formats has significant implications for automating knowledge extraction, building scientific knowledge graphs, and enabling more sophisticated analysis of academic literature at scale.