arxiv
PublishedSeptember 11, 2026 at 4:00 AM
—neutral
DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation
Publisher summary· verbatim
arXiv:2608.11889v2 Announce Type: replace-cross Abstract: Prompting-based (i.e., non-fine-tuning) Text-to-SQL methods, where underlying large language model parameters are not changed for the task, face three problems: (i) relying on coarse-grained schema information that may not reveal the fine-gra
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning2harxivSubagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks2harxivDistribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts2harxivIn RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning2hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗