arXiv AI August 7, 2026 By Donna Hooshmand, Shubham Shahi, Cameron Barrie, Abhratanu Dutta, Marko Sterbentz, Harper Pack, Kristian J. Hammond

Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data

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arXiv:2608. 06331v1 Announce Type: cross Abstract: From natural-language query interfaces to automated report generation, data analysis tools need a description of the data: the real-world entities it contains, which columns function as measures or identifiers, and how tables connect into units of analysis.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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Natural Language Access to Domain-Specific Metadata: A Reusable Framework for LLM Query Generation

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Database Context Compression for Text-to-SQL on Real-World Large Databases

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DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation