Researchverified decompositionsymbolic differentiationcurriculum learning
Verify-RL Improves Math Problem Decomposition Accuracy
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8.2
On Feb. 7, 2026 researchers posted an arXiv preprint introducing Verify-RL, a framework that uses symbolic differentiation to produce verifiable parent–child decompositions for complex math problems. Each decomposition must satisfy decreasing structural complexity, solution containment, and formal rule derivation, enabling automatic verification. Experiments show hardest-problem accuracy rising from 32% to 68% and a 40% relative improvement overall.
Scoring Rationale
Strong experimental gains and verifiable method, limited by single arXiv preprint source without peer review.
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