Hard Examples Are All You Need: Maximizing GRPO Post-Training Under Annotation Budgets
Our latest research demonstrates how focusing on challenging examples can significantly improve model performance during post-training, even with limited annotation resources. This work presents novel strategies for efficient data selection and training optimization.
