SOTAVerified

Text-To-SQL

Text-to-SQL is a task in natural language processing (NLP) where the goal is to automatically generate SQL queries from natural language text. The task involves converting the text input into a structured representation and then using this representation to generate a semantically correct SQL query that can be executed on a database.

( Image credit: SyntaxSQLNet )

Papers

Showing 351400 of 424 papers

TitleStatusHype
Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQLCode0
LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Multi-Domain Reasoning ChallengesCode0
PG-GSQL: Pointer-Generator Network with Guide Decoding for Cross-Domain Context-Dependent Text-to-SQL GenerationCode0
Byte-Pair Encoding for Text-to-SQL GenerationCode0
LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?Code0
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic ParsingCode0
Text-to-SQL Generation for Question Answering on Electronic Medical RecordsCode0
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent QuestionsCode0
Zero-shot Text-to-SQL Learning with Auxiliary TaskCode0
ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error HandlingCode0
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL TranslationCode0
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL ParsingCode0
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL ParsingCode0
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QACode0
Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQLCode0
SQL Generation via Machine Reading ComprehensionCode0
Disambiguate First Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic ParsingCode0
Learn from Yesterday: A Semi-Supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task StreamsCode0
DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQLCode0
Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual PromptsCode0
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge BasesCode0
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge RetrievalCode0
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLMCode0
Using Database Rule for Weak Supervised Text-to-SQL GenerationCode0
KaggleDBQA: Realistic Evaluation of Text-to-SQL ParsersCode0
When Reasoning Beats Scale: A 1.5B Reasoning Model Outranks 13B LLMs as DiscriminatorCode0
Valid Text-to-SQL Generation with Unification-based DeepStochLogCode0
Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-rankerCode0
AraSpider: Democratizing Arabic-to-SQLCode0
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQLCode0
Representing Schema Structure with Graph Neural Networks for Text-to-SQL ParsingCode0
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema SamplingCode0
Integrating question answering and text-to-SQL in PortugueseCode0
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic ParsingCode0
Robust Text-to-SQL Generation with Execution-Guided DecodingCode0
I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL GenerationCode0
Improving Text-to-SQL Evaluation MethodologyCode0
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQLCode0
ST-SQL: Semi-Supervised Self-Training for Text-to-SQL via Column Specificity Meta-LearningCode0
DAC: Decomposed Automation Correction for Text-to-SQLCode0
TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based ScoringCode0
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL ParsingCode0
TUR2SQL: A Cross-Domain Turkish Dataset For Text-to-SQLCode0
AnDB: Breaking Boundaries with an AI-Native Database for Universal Semantic AnalysisCode0
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL TaskCode0
Global Reasoning over Database Structures for Text-to-SQL ParsingCode0
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL GenerationCode0
SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQACode0
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New AlgorithmsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Human PerformanceExecution Accurarcy (Human)92.96Unverified
2XiYan-SQLExecution Accuracy % (Test)75.63Unverified
3DSAIR + GPT-4oExecution Accuracy % (Test)74.12Unverified
4CHASE-SQL + GeminiExecution Accuracy % (Test)74.06Unverified
5ExSL + granite-34b-codeExecution Accuracy % (Test)73.17Unverified
6OpenSearch-SQL+ v2 + GPT-4oExecution Accuracy % (Test)72.28Unverified
7Distillery + GPT-4oExecution Accuracy % (Test)71.83Unverified
8Insights AIExecution Accuracy % (Test)70.26Unverified
9PURPLE + RED + GPT-4oExecution Accuracy % (Test)70.21Unverified
10MCTS-SQLExecution Accuracy % (Test)69.4Unverified
#ModelMetricClaimedVerifiedStatus
1XiYan-SQLExecution Accuracy (Test)89.65Unverified
2PET-SQLExecution Accuracy (Test)87.6Unverified
3datagpt-sql-7B + InvalidSQL-FeedbackExecution Accuracy (Dev)87.2Unverified
4DAIL-SQL + GPT-4 + Self-ConsistencyExecution Accuracy (Test)86.6Unverified
5DIN-SQL + GPT-4Execution Accuracy (Test)85.3Unverified
6datagpt-sql-7BExecution Accuracy (Dev)84.8Unverified
7MSc-SQLExecution Accuracy (Test)84.7Unverified
8MARLO + Claude 2.1Execution Accuracy (Test)84Unverified
9C3 + ChatGPT + Zero-ShotExecution Accuracy (Test)82.3Unverified
10code-davinci-002 175B (LEVER)Execution Accuracy (Dev)81.9Unverified
#ModelMetricClaimedVerifiedStatus
1Spider-Agent + o1-previewSuccess Rate17.03Unverified
2Spider-Agent + GPT-4oSuccess Rate10.13Unverified
3Spider-Agent + Claude-3.5-SonnectSuccess Rate9.02Unverified
4Spider-Agent + GPT-4Success Rate8.86Unverified
5Spider-Agent + Qwen2.5-72BSuccess Rate6.17Unverified
6Spider-Agent + DeepSeek-V2.5Success Rate5.22Unverified
7Spider-Agent + Gemini-Pro-1.5Success Rate2.53Unverified
8Spider-Agent + Llama-3.1-405BSuccess Rate2.21Unverified
#ModelMetricClaimedVerifiedStatus
1RASAT+PICARDinteraction match accuracy45.2Unverified
2RAT-SQL-TC + GAPinteraction match accuracy43.2Unverified
3HIE-SQL + GraPPainteraction match accuracy42.9Unverified
4RAT-SQL + SCoReinteraction match accuracy38.1Unverified
5EditSQL + BERTinteraction match accuracy25.3Unverified
6GAZP + BERTinteraction match accuracy23.5Unverified
7SyntaxSQL-coninteraction match accuracy5.2Unverified
#ModelMetricClaimedVerifiedStatus
1RAT-SQLExact Match (EM)26.77Unverified
2Edit-SQLExact Match (EM)11.73Unverified
#ModelMetricClaimedVerifiedStatus
1T5-LargePCM-F1 (dev)48.2Unverified
#ModelMetricClaimedVerifiedStatus
1XiYan-SQLExecution Accuracy69.86Unverified
#ModelMetricClaimedVerifiedStatus
1Orange-mini0-shot MRR74.17Unverified