Formalizes Text2DSL, introduces PolkitBench dataset with 4,204 pairs, and shows structured prompt context boosts syntactic validity to 98.6-99.4%, structural validity by up to 35.5 pp, and CodeBLEU by 60-95% on two MoE models.
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Text2DSL: LLM-Based Code Generation for Domain-Specific Languages
Formalizes Text2DSL, introduces PolkitBench dataset with 4,204 pairs, and shows structured prompt context boosts syntactic validity to 98.6-99.4%, structural validity by up to 35.5 pp, and CodeBLEU by 60-95% on two MoE models.