Deep Tabular Research via Continual Experience-Driven Execution

Researchers propose Deep Tabular Research (DTR), a new AI framework that enables large language models to better analyze complex, unstructured tables through multi-step reasoning. The system uses hierarchical meta graphs and continual learning to improve long-horizon analytical tasks over tables with non-canonical layouts.