MaDI-Bench supplies the first end-to-end benchmark tasks for full relational data integration pipelines across domains plus a variant-generation method to slow saturation.
Alaska: A Flexible Benchmark for Data Integration Tasks,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Alper unifies entity resolution matching and clustering into an iterative graph refinement and probabilistic label propagation process that adaptively selects LLM queries via a budgeted greedy optimization to outperform cascaded pipelines on eight benchmarks.
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Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
Alper unifies entity resolution matching and clustering into an iterative graph refinement and probabilistic label propagation process that adaptively selects LLM queries via a budgeted greedy optimization to outperform cascaded pipelines on eight benchmarks.