Adversarial evolution of constraint graphs generates diverse mathematical reasoning datasets that enable 1K-sample fine-tuning to outperform standard datasets like LIMO and s1K on eight benchmarks with better out-of-distribution generalization.
InThe Twelfth International Conference on Learning Representations
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MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis
Adversarial evolution of constraint graphs generates diverse mathematical reasoning datasets that enable 1K-sample fine-tuning to outperform standard datasets like LIMO and s1K on eight benchmarks with better out-of-distribution generalization.