EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL
cs.AI, cs.DB
Submitted: 2026-06-04
Updated: 2026-08-29
Code: https://github.com/valleysprings/EvoSQL
Terminology
Sources
- RSL-SQL: Robust Schema Linking in Text-to-SQL Generation
- ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration
- C3: Zero-shot Text-to-SQL with ChatGPT
- Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
- Towards Generalizable and Robust Text-to-SQL Parsing
- DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
- ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution
- Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
- Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation
- Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- STaR-SQL: Self-Taught Reasoner for Text-to-SQL
- Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
- R-Zero: Self-Evolving Reasoning LLM from Zero Data
- OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale
- Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
- ToRL: Scaling Tool-Integrated RL
- Reinforcement Learning via Self-Distillation
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