BIRD
Emerging75papers using it
2023first seen
The BIRD dataset is a benchmark that contains a collection of natural language questions and corresponding SQL queries, used to evaluate the performance of systems translating natural language into SQL.
Papers using BIRD (75)
- OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and
Consistency AlignmentTest-Time Verification for Text-to-SQL via Outcome Reward ModelsSQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference OptimizationCSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement LearningArctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQLAgentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time ScalingRAISE: Reasoning Agent for Interactive SQL ExplorationSDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL ProbesFeather-SQL: A Lightweight NL2SQL Framework with Dual-Model
Collaboration Paradigm for Small Language ModelsReward-SQL: Boosting Text-to-SQL via Stepwise Reasoning and Process-Supervised RewardsCheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-TuningJOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema SamplingLearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large
Language ModelsReasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards
for Reasoning-Enhanced Text-to-SQLBASE-SQL: A powerful open source Text-To-SQL baseline approachSQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQLV-SQL: A View-based Two-stage Text-to-SQL FrameworkMCTS-SQL: Light-Weight LLMs can Master the Text-to-SQL through Monte Carlo Tree SearchProgress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive RewardsAV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic ViewsSQL Query Engine: A Self-Healing LLM Pipeline for Natural Language to PostgreSQL TranslationLeGo-Code: Can Modular Curriculum Learning Advance Complex Code Generation? Insights from Text-to-SQLAn Agentic System for Schema Aware NL2SQL GenerationReViSQL: Achieving Human-Level Text-to-SQLMARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQLBeyond SELECT: A Comprehensive Taxonomy-Guided Benchmark for Real-World Text-to-SQL TranslationLitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-CorrectionBenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark CurationRethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database ExplorationPaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement LearningGBV-SQL: Guided Generation and SQL2Text Back-Translation Validation for Multi-Agent Text2SQLDeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword ExtractionGradeSQL: Test-Time Inference with Outcome Reward Models for Text-to-SQL Generation from Large Language ModelsA State-of-the-Art SQL Reasoning Model using RLVRSING-SQL: A Synthetic Data Generation Framework for In-Domain Text-to-SQL TranslationXiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQLSLM-SQL: An Exploration of Small Language Models for Text-to-SQLSQL-R1: Training Natural Language to SQL Reasoning Model By
Reinforcement LearningSQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMsUNJOIN: Enhancing Multi-Table Text-to-SQL Generation via Schema SimplificationSchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale DatabasesSQLCritic: Correcting Text-to-SQL Generation via Clause-wise CriticExCoT: Optimizing Reasoning for Text-to-SQL with Execution FeedbackDB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQLFeather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language ModelsKnapsack Optimization-based Schema Linking for LLM-based Text-to-SQL GenerationBridging the Gap: Transforming Natural Language Questions into SQL
Queries via Abstract Query Pattern and Contextual Schema MarkupSQLong: Enhanced NL2SQL for Longer Contexts with LLMsAutomatic database description generation for Text-to-SQLReliable Text-to-SQL with Adaptive AbstentionDialect2SQL: A Novel Text-to-SQL Dataset for Arabic Dialects with a Focus on Moroccan DarijaCan LLM Already Serve as A Database Interface? A BIg Bench for
Large-Scale Database Grounded Text-to-SQLsDIN-SQL: Decomposed In-Context Learning of Text-to-SQL with
Self-CorrectionSQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
(extended)MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQLCodeS: Towards Building Open-source Language Models for Text-to-SQLCHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate
Selection in Text-to-SQLA Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for
Text-to-SQLSpider 2.0: Evaluating Language Models on Real-World Enterprise
Text-to-SQL WorkflowsE-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL$R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL TasksDAC: Decomposed Automation Correction for Text-to-SQLMCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For
Text-to-SQL GenerationSQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent CollaborationTowards Optimizing SQL Generation via LLM RoutingBefore Generation, Align it! A Novel and Effective Strategy for
Mitigating Hallucinations in Text-to-SQL GenerationEvaluating LLMs for Text-to-SQL Generation With Complex SQL WorkloadMAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and
Iterative Sub-SQL Refinement for Text-to-SQLMulti-Turn Interactions for Text-to-SQL with Large Language ModelsFLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL
BenchmarkEnhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality MeasurementLeveraging Prior Experience: An Expandable Auxiliary Knowledge Base for
Text-to-SQLSolid-SQL: Enhanced Schema-linking based In-context Learning for Robust
Text-to-SQLDFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy
in Large-Scale DatabasesCooperative SQL Generation for Segmented Databases By Using
Multi-functional LLM Agents