The authors claim that reinforcement learning with an embedding-clustering reward improves Chinese spelling correction and cross-domain generalization, but the evidence is missing key baselines and reproducibility artifacts.
Theoretically, using manual annotation is a perfect solution, but it is too idealized and costly
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CEC-Zero: Chinese Error Correction Solution Based on LLM
The authors claim that reinforcement learning with an embedding-clustering reward improves Chinese spelling correction and cross-domain generalization, but the evidence is missing key baselines and reproducibility artifacts.