What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
A new research paper explores the impact of code on mathematical reasoning in large language models. The study found that while code improves programming abilities, it does not generally enhance mathematical reasoning and can even compete with knowledge-intensive tasks. The researchers discovered that structured reasoning traces, like math-text mixtures, are more effective for improving reasoning than executable code alone. They suggest that increasing the density of structured math-domain samples offers a targeted approach to boost mathematical reasoning without sacrificing programming performance. AI
IMPACT Clarifies which data characteristics improve LLM reasoning, suggesting more precise data-centric optimization strategies.
