DeepEye-SQL applies SDLC-inspired orchestration to Text-to-SQL, achieving 73.5% on BIRD-Dev, 75.07% on BIRD-Test, and 89.8% on Spider-Test with ~30B MoE models.
Automatic metadata extraction for text-to-SQL
3 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
3
Pith papers citing it
1
external citations · external index
citation-role summary
background 1
citation-polarity summary
fields
cs.DB 3roles
background 1polarities
background 1representative citing papers
Sophrosyne augments fine-grained data APIs with directives to curb over-exploration by Text2SQL agents, reducing it 4.6x and improving accuracy up to 4 points.
citing papers explorer
-
DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework
DeepEye-SQL applies SDLC-inspired orchestration to Text-to-SQL, achieving 73.5% on BIRD-Dev, 75.07% on BIRD-Test, and 89.8% on Spider-Test with ~30B MoE models.
-
Sophrosyne: Agentic Exploration of Relational Data Systems Needs Moderation
Sophrosyne augments fine-grained data APIs with directives to curb over-exploration by Text2SQL agents, reducing it 4.6x and improving accuracy up to 4 points.
- Data-aware candidate selection in NL2SQL translation via small separating instances