self-aware-learning

SAI-DPO introduces a dynamic sampling framework that adapts training data to a model's evolving capabilities during mathematical reasoning tasks, using self-aware difficulty metrics and knowledge semantic alignment to achieve state-of-the-art efficiency with less data on benchmarks like AIME24 and AMC23.