MathScale proposes a scalable method to create high-quality mathematical reasoning data using large language models, leading to significant improvements in mathematical reasoning abilities. By leveraging frontier LLMs, MathScale achieves state-of-the-art performance across various datasets.
MathScale proposes a scalable method to create high-quality mathematical reasoning data using large language models, resulting in improved capabilities in mathematical reasoning.