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Schematize is an open-source multi-agent system that interactively generates and refines information-extraction schemas for legal research, achieving top performance in human evaluations.
This paper proposes ASMR, an agentic framework with a Field Generation Agent and a Structural Optimizer Agent that uses reinforcement learning to automatically generate compact and informative schemas from historical ship maintenance reports, aiming to improve report completeness and consistency.