AGENTIC-SYSTEMSApril 28, 20261 min read9 views

PExA: Parallel Exploration Agent for Complex Text-to-SQL

PExA is a novel LLM-based agent that reformulates text-to-SQL generation using parallel exploration of atomic SQL test cases, achieving a new state-of-the-art accuracy of 70.2% on the Spider 2.0 benchmark.

Computer Science > Artificial Intelligence

Title:PExA: Parallel Exploration Agent for Complex Text-to-SQL

View PDF HTML (experimental)Abstract:LLM-based agents for text-to-SQL often struggle with latency-performance trade-off, where performance improvements come at the cost of latency or vice versa. We reformulate text-to-SQL generation within the lens of software test coverage where the original query is prepared with a suite of test cases with simpler, atomic SQLs that are executed in parallel and together ensure semantic coverage of the original query. After iterating on test case coverage, the final SQL is generated only when enough information is gathered, leveraging the explored test case SQLs to ground the final generation. We validated our framework on a state-of-the-art benchmark for text-to-SQL, Spider 2.0, achieving a new state-of-the-art with 70.2% execution accuracy.

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