Synthetic data generation for tabular data
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Updated
Feb 19, 2026 - Python
Synthetic data generation for tabular data
Advanced mass multi-tabling software
REAR is a fast, LLM-free framework for multi-table retrieval that separates semantic relevance from structural joinability. By retrieving relevant tables, expanding with joinable ones, and refining noisy candidates, it consistently improves multi-table QA and Text-to-SQL performance—matching LLM-based methods at much lower cost and latency.
SYNthetic Data GENeration made easy for everyone, free and open-sourced.
Code associated with the preprint: "CORE-T: COherent REtrieval of Tables for Text-to-SQL". CORE-T is a training-free, open-book multi-table retriever for text-to-SQL.
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