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J-Miner reveals that decision knowledge from language models can be distilled into executable rules, achieving near-perfect fidelity while enhancing interpretability and reusability.
LLMs struggle with procedural database programming, revealing critical gaps in their capabilities that traditional benchmarks overlook.
Ambiguity in natural language queries can be resolved autonomously, boosting SQL execution accuracy by over 13% without human intervention.
