Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search

In three linesTabTrim, a novel table pruning framework for TableQA, replaces sequential revisions with gold trajectory-supervised parallel search. The system uses intermediate sub-tables from gold SQL queries to train a pruner and verifier. TabTrim-8B achieves 73.5% average accuracy, outperforming strongest baselines by 3.2% (79.4% on WikiTQ, 61.2% on TableBench).

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