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

arXiv AI Archived Apr 29, 2026 ! Full text unavailable

arXiv:2604.22934v1 Announce Type: new 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 cove

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    arXiv AI
    Category
    ◬ AI & Machine Learning
    Published
    Apr 29, 2026
    Archived
    Apr 29, 2026
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