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full-schema-assumption

topic1 events
papersSEP 12 04:00 UTC

TRUST-SQL Uses Multi-Turn Reinforcement Learning for Text-to-SQL on Unknown Schemas

A new arXiv paper introduces TRUST-SQL, a tool-integrated multi-turn reinforcement learning approach for text-to-SQL tasks where the database schema is not known in advance. The authors argue that the common Full Schema Assumption breaks down in enterprise settings, where databases can hold hundreds of tables and noisy metadata. Their method instead lets the model interact with external tools across multiple turns to discover and query the schema.

text-to-sql/reinforcement-learning/agents/arxiv