POS decomposes table questions into atomic natural-language steps, executes each as SQL, and shows the intermediate tables, beating prior methods on explanation-quality tests while staying competitive on accuracy and cutting LLM calls.
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Interpretable LLM-based Table Question Answering
POS decomposes table questions into atomic natural-language steps, executes each as SQL, and shows the intermediate tables, beating prior methods on explanation-quality tests while staying competitive on accuracy and cutting LLM calls.