mlsanityData to 14 Oct 2026

SQUiD: Synthesizing Relational Databases from Unstructured Text

arXiv 2505.19025 ↗First posted 25 May 2025cs.DB cs.CLcited by 4

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Abstract (arXiv)

Relational databases are central to modern data management, yet most data exists in unstructured forms like text documents. To bridge this gap, we leverage large language models (LLMs) to automatically synthesize a relational database by generating its schema and populating its tables from raw text. We introduce SQUiD, a novel neurosymbolic framework that decomposes this task into four stages, each with specialized techniques. Our experiments show that SQUiD consistently outperforms baselines across diverse datasets. Our code and datasets are publicly available at: https://github.com/Mushtari-Sadia/SQUiD.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 19 of its 54 references that are in the map. First posted on arXiv 25 May 2025.

Builds on

19 of 54 references.

References · 19

  1. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
  2. 2018Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Taskcited by 1,139
  3. 2016Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyondcited by 812
  4. 2023Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLscited by 688
  5. 2021Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Modelscited by 463
  6. 2019RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parserscited by 424
  7. 2021PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Modelscited by 411
  8. 2020CORD-19: The COVID-19 Open Research Datasetcited by 180
  9. 2024Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQLcited by 120
  10. 2023Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakescited by 111
  11. 2024Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worsecited by 109
  12. 2018A Survey on Open Information Extractioncited by 51
7 more
  1. 2024Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extractioncited by 33
  2. 2023Schema-Driven Information Extraction from Heterogeneous Tablescited by 25
  3. 2024gTBLS: Generating Tables from Text by Conditional Question Answeringcited by 13
  4. 2024Entity Retrieval for Answering Entity-Centric Questionscited by 10
  5. 2019OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inferencecited by 9
  6. 2024Structsum Generation for Faster Text Comprehensioncited by 9
  7. 2016Relation Schema Induction using Tensor Factorization with Side Informationcited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.

  1. 2025A Case for Computing on Unstructured Datacited by 2
  2. 2026EidosDoc: Implicit Structure Encoding for Cost-Effective Semi-Structured Document QAcited by 1
  3. 2026Beyond Tables: Doc2DB-Bench for Relationally Faithful Document-to-Database Constructioncited by 0
  4. 2026A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narrativescited by 0