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· 2023 · arXiv 2305.02783

1 Pith paper cite this work. Polarity classification is still indexing.

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cs.AI 1

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2026 1

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Text2DSL: LLM-Based Code Generation for Domain-Specific Languages

cs.AI · 2026-06-21 · unverdicted · novelty 6.0

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 cs.AI · 2026-06-21 · unverdicted · none · ref 22

    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.