SQL Generation - Edgentiq

Collaborative AI Agents Boost Text-to-SQL Performance in Open-Source Models

Dynamic SQL Generation: How MTIR-SQL Enhances Text-to-SQL with Interactive Reasoning

OraPlan–SQL: Advancing Natural Language to SQL Conversion with Intelligent Planning

Boosting Language Model Reasoning with Targeted Exploration Rewards

Enhancing Multilingual Text-to-SQL with Semantic Contrastive Rewards

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Advancing Conversational Database Interaction with MTSQL-R1’s Agentic Approach

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HES-SQL: A New Approach for Accurate and Efficient Text-to-SQL Generation

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LLMSQL: A Refined Benchmark for Text-to-SQL in the Age of Large Language Models

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Thinkquel: Advancing Natural Language to Data Transformations with dbt

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Generating Tailored Data for Text-to-SQL Systems: Introducing SING-SQL

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Beyond Syntax: GBV-SQL Validates User Intent in Text-to-SQL Generation

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Solving Diversity Collapse in LLMs with Diversity-Preserving Hybrid RL

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PaVeRL-SQL: Enhancing Text-to-SQL with Smarter Rewards and Learning Strategies

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VERLTOOL: A New Standard for Training Tool-Augmented AI Agents

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Streamlining Database Interaction: An End-to-End Text-to-SQL Framework with Automated Database Selection

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eSapiens: Empowering Businesses with Secure and Auditable AI-Powered Insights

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SQLBarber: AI-Powered System Generates Realistic and Customizable SQL Workloads for Benchmarking

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CogniSQL-R1-Zero: Achieving Top-Tier SQL Generation with Efficient AI Training

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JARVIS: A New AI Framework for Smarter HVAC System Interaction

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Gen AI News and Updates

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Collaborative AI Agents Boost Text-to-SQL Performance in Open-Source Models

November 7, 2025

Dynamic SQL Generation: How MTIR-SQL Enhances Text-to-SQL with Interactive Reasoning

October 31, 2025

OraPlan–SQL: Advancing Natural Language to SQL Conversion with Intelligent Planning

October 29, 2025