Math Reasoning in LLMs is Organized by Approach, Not Topic
New research suggests LLMs process mathematical logic through transferable strategies rather than domain-specific facts.
Mathematical reasoning benchmarks are typically organized by topic, but language models may organize their internal computation by reusable reasoning approach instead. In this paper, we investigate whether open math-capable LLMs organize internally by topical sub-skill or by reas...
ArXiv CS.AI
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This research suggests that LLMs develop modular reasoning strategies that transcend specific mathematical subjects, potentially allowing for better cross-disciplinary skill generalization. Shifting from topic-based to skill-based evaluation could fundamentally change how we train and benchmark reasoning capabilities in future models.
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