MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis

MindLoom is a framework for synthesizing frontier-level reasoning data, addressing the challenge of limited diversity and unstable difficulty in existing methods. It achieves this by decomposing problem solutions into "thought mode chains" and training a retrieval model to guide the reasoning process.