Closing the Cross-Dialect Gap: Query Plans as a Portable Interface in Text-to-SQL

arXiv:2609.33670 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/dlt-hub/dlt

Terminology

• Accuracy — 58× in this paper · explained in 1 episode
• Text-to-SQL — 40× in this paper · explained in 3 episodes
• Benchmark — 15× in this paper · explained in 2 episodes
• Fine-Tuning — 13× in this paper · explained in 5 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Adaptation — 6× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Intermediate Representation — 4× in this paper
• Failure Modes — 3× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• AUC — 1× in this paper · explained in 2 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Model Merging — 1× in this paper · explained in 2 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes
• Structured Query Language — 1× in this paper
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
• Semantic Parsing for Complex Data Retrieval: Targeting Query Plans vs. SQL for No-Code Access to Relational Databases
• FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark
• OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
• MoMQ: Mixture-of-Experts Enhances Multi-Dialect Query Generation across Relational and Non-Relational Databases
• PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism
• SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
• CHESS: Contextual Harnessing for Efficient SQL Synthesis
• Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System

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