Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models

ArXi:2507.18014v3 Announce Type: replace Fine-tuning large language models (LLMs) for reasoning tasks using reinforcement learning methods like Group Relative Policy Optimization (GRPO) is computationally expensive. To address this, we propose a predictive framework that models