A two-stage synthetic data generation method creates the CommonSyn dataset, allowing LLMs fine-tuned on it to produce more diverse and higher-quality commonsense responses than vanilla or human-data-trained models.
Formatting constraints: • Use exactlyone reasoning paragraph (≥4sentences)andone sentenceper generation
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Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
A two-stage synthetic data generation method creates the CommonSyn dataset, allowing LLMs fine-tuned on it to produce more diverse and higher-quality commonsense responses than vanilla or human-data-trained models.