CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards

In three linesCSRP, a three-stage framework for Chinese grammatical error correction, combines continual pre-training (5.9M samples), Chain-of-Thought fine-tuning, and policy optimization with efficiency-aware rewards. Achieves 50.99 F₀.₅ on NACGEC and outperforms GPT-4 on spelling correction (59.61 F1).

Summary generated by Claude — human-verified