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.
"" G.2 Prompt to LLM Judges in Forward Simulation /usrPrompt for LLM-as-a-Judge in Forward Simulation prompt = f
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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.