CoTEvol evolves CoT trajectories via reflective crossover and uncertainty-guided mutation to synthesize more accurate and diverse math reasoning data, outperforming distillation and search-based methods.
According to Newton’s second law,F=ma, so0.2mg=ma
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CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning
CoTEvol evolves CoT trajectories via reflective crossover and uncertainty-guided mutation to synthesize more accurate and diverse math reasoning data, outperforming distillation and search-based methods.