AIBullisharXiv – CS AI · 9h ago7/10
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Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators
Researchers propose CIKA, a framework using LLMs as interventional simulators to identify which mathematical concepts causally contribute to correct answers, distinguishing genuine causal relationships from spurious correlations. The method achieves 69.7% on Omni-MATH-Rule and 97.2% on GSM8K with a frozen 7B model, outperforming o1-mini on contamination-free benchmarks.