Learning What to Learn: Stage-Specific Data Sets for SFT-then-RL in Small Language Model Reasoning

Chongyang He, Rui Zhang, Zixuan Wang +1

Post-training Small Language Models (SLMs) for reasoning typically follows an SFT-then-RL pipeline, yet existing work rarely considers what data should be learned at each stage. We…