Fine-tuning small LMs on synthetic and bootstrapped syntax-error corrections lifts MiniZinc execution accuracy from ~0% to 98% in an ensemble, but solution accuracy saturates near 35%.
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Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc
Fine-tuning small LMs on synthetic and bootstrapped syntax-error corrections lifts MiniZinc execution accuracy from ~0% to 98% in an ensemble, but solution accuracy saturates near 35%.