Towards Probabilistic Question Answering Over Tabular Data

Current methods for answering questions over tables struggle with reasoning under uncertainty. This work introduces LUCARIO, a new benchmark for probabilistic QA over tabular data, and Auto-BN, a framework that uses Bayesian Networks and Large Language Models to compute answers based on statistical rigor.

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