SANE Schema-aware Natural-language Evaluation of Biological Data

SANE is a framework that automatically generates structured text-to-SQL benchmarks from real biological database contents and experimental designs. It evaluates few-shot large language models by testing their ability to write accurate SQL queries for complex microscopy data without any model training or fine-tuning, achieving high accuracy through schema-aware prompting.

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