Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models⭐7

Study reveals RL-trained models develop deeper, more structured reasoning representations for math compared to SFT, via probe analysis and ablation studies.