SQL Parsing

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (50 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
  28 Jun 2022 2 repositories listed
  The importance of building text-to-SQL parsers which can be applied to new databases has long been acknowledged, and a critical step to achieve this goal is schema linking, i.
• KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
  22 Jun 2021 2 repositories listed
  The goal of database question answering is to enable natural language querying of real-life relational databases in diverse application domains.
• SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
  25 Sep 2024 1 repository listed
  Text-to-SQL parsing and end-to-end question answering (E2E TQA) are two main approaches for Table-based Question Answering task.
• SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration
  19 Jun 2024 1 repository listed
  Subsequently, leveraging similar repair retrieval and failure memory reflection, the SQLRefiner agent selects the most fitting SQL statement from the candidates as the final repair.
• EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records
  23 May 2024 1 repository listed
  In this paper, we introduce EHR-SeqSQL, a novel sequential text-to-SQL dataset for Electronic Health Record (EHR) databases.
• When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
  16 Feb 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In this paper, we examine how large language models (LLMs) solve multi-step problems under a language agent framework with three components: a generator, a discriminator, and a planning method.
• MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
  18 Dec 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Our framework comprises a core decomposer agent for Text-to-SQL generation with few-shot chain-of-thought reasoning, accompanied by two auxiliary agents that utilize external tools or models to acquire smaller…
• Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
  20 Oct 2023 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  However, this strategy encounters two major obstacles: (1) existing datasets lack question decomposition; (2) due to the syntactic complexity of SQL, most complex queries cannot be disentangled into sub-queries that can…
• Text-to-SQL Error Correction with Language Models of Code
  22 May 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Thus, we propose a novel representation for SQL queries and their edits that adheres more closely to the pre-training corpora of language models of code.
• Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
  4 May 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Our emphasis on database values highlights the new challenges of dirty database contents, external knowledge between NL questions and database contents, and SQL efficiency, particularly in the context of massive…
• RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
  12 Feb 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Due to the structural property of the SQL queries, the seq2seq model takes the responsibility of parsing both the schema items (i.
• Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
  18 Jan 2023 1 repository listed
  Recently, the pre-trained text-to-text transformer model, namely T5, though not specialized for text-to-SQL parsing, has achieved state-of-the-art performance on standard benchmarks targeting domain generalization.
• Towards Generalizable and Robust Text-to-SQL Parsing
  23 Oct 2022 1 repository listed
  Text-to-SQL parsing tackles the problem of mapping natural language questions to executable SQL queries.
• STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
  21 Oct 2022 1 repository listed
  Concretely, we propose two novel pre-training objectives which respectively explore the context-dependent interactions of NL utterances and SQL queries within each text-to-SQL conversation: (i) schema state tracking…
• SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
  14 Sep 2022 1 repository listed
  To improve the generalizability and stability of neural text-to-SQL parsers, we propose a model uncertainty constraint to refine the query representations by enforcing the output representations of different perturbed…
• Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
  8 Aug 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  First, we extract a schema linking graph from PLMs through a probing procedure in an unsupervised manner.
• Weakly Supervised Text-to-SQL Parsing through Question Decomposition
  12 Dec 2021 1 repository listed
  Given questions, their QDMR structures (annotated by non-experts or automatically predicted), and the answers, we are able to automatically synthesize SQL queries that are used to train text-to-SQL models.
• Learning to Synthesize Data for Semantic Parsing
  12 Apr 2021 1 repository listed
  Moreover, explicitly modeling compositions using PCFG leads to a better exploration of unseen programs, thus generate more diverse data.
• Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
  3 Mar 2021 1 repository listed
  For better distribution matching, we require that at least 80% of SQL patterns in the training data are covered by generated queries.
• Optimizing Deeper Transformers on Small Datasets
  30 Dec 2020 1 repository listed
  This work shows that this does not always need to be the case: with proper initialization and optimization, the benefits of very deep transformers can carry over to challenging tasks with small datasets, including…
• A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
  30 Sep 2020 1 repository listed
  In Text-to-SQL semantic parsing, selecting the correct entities (tables and columns) for the generated SQL query is both crucial and challenging; the parser is required to connect the natural language (NL) question and…
• Global Reasoning over Database Structures for Text-to-SQL Parsing
  29 Aug 2019 1 repository listed
  State-of-the-art semantic parsers rely on auto-regressive decoding, emitting one symbol at a time.
• Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
  15 May 2019 1 repository listed
  Research on parsing language to SQL has largely ignored the structure of the database (DB) schema, either because the DB was very simple, or because it was observed at both training and test time.
• Improving Text-to-SQL Evaluation Methodology
  23 Jun 2018 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Second, we show that the current division of data into training and test sets measures robustness to variations in the way questions are asked, but only partially tests how well systems generalize to new queries;…

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.