A data curation pipeline turning Wikipedia tables into verified multi-hop reasoning examples improves long-context reasoning performance in LLMs through supervised fine-tuning.
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$\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models
A data curation pipeline turning Wikipedia tables into verified multi-hop reasoning examples improves long-context reasoning performance in LLMs through supervised fine-tuning.