${\pi }^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models

Quyet V. Do, Thinh Pham, Nguyen Nguyen +3

We study a QA curation pipeline for improving long-context complex reasoning in large language models (LLMs). Our approach, ${\pi }^2$, constructs high-quality reasoning data through ri…