PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL
Summary: Defines NL-to-PL/SQL to target procedural, multi-statement PL/SQL generation that Text-to-SQL models neglect. Introduces PLForge (3/7/15B) via PL/SQL-centric incremental pretraining, custom prompting and synthetic NL–PL/SQL data, improving execution- and exact-match vs. baselines. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Hang Zhang
- 2. Chaokun Wang
- 3. Hongwei Li
- 4. Cheng Wu
- 5. Songyao Wang
- 6. Yabin Liu
- 7. Gengyuan Shi
- 8. Ziyang Liu
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