Wangzi Shi

Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework

The large language models (LLMs) learning framework for math problem generation (MPG) mostly performs homogeneous training in different epochs on small-scale manually annotated data. This pattern struggles to provide large-scale new quality data to support continual improvement, and fails to stimula