Achieving 8× Performance Gains with Reinforcement Learning on Synthetic Data in Large Language Models | Synced

In a new paper RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold, a research team provides insights into how synthetic data affects performance, suggesting that a specific schema can achieve consistent gains over using only positive data, achieving performance by 8× in synthetic data volume.