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Table-based reasoning has shown remarkable progress in combining deep models with discrete reasoning, which requires reasoning over both free-form natural language (NL) questions and structured tabular data.
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Chain-of-thought prompting elicits reasoning in large language models
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Star: Bootstrapping reasoning with reasoning
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Automatic chain of thought prompting in large language models
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Table-based fact verification with self-adaptive mixture of experts
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A survey and experimental comparison of distributed sparql engines for very large rdf data
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