Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System
cs.DB, cs.AI, cs.CL, cs.IR, cs.LG
Submitted: 2026-03-08
Updated: 2026-09-19
Comments: Published in Proceedings of the VLDB Endowment (PVLDB), Vol. 19, No. 11, 2026
Journal ref: Proceedings of the VLDB Endowment, 19(11): 3718-3731, 2026
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
- Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling
- ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
- Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards
- Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
- Large Language Models Cannot Self-Correct Reasoning Yet
- DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework
- OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
- An Empirical Study on Database Usage in Microservices
- A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
- CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
- A Survey of Data Agents: Emerging Paradigm or Overstated Hype?
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