GenTUS reformulates table union search as constrained generative retrieval over semantic table identifiers, achieving top retrieval quality on seven benchmarks with lower latency and storage costs.
InProceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Introduces a beam-search heuristic for random subset sum that uses meshing to obtain inverse-quadratic expected error decay in linearithmic time.
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Generative Retrieval for Table Union Search
GenTUS reformulates table union search as constrained generative retrieval over semantic table identifiers, achieving top retrieval quality on seven benchmarks with lower latency and storage costs.