AI RESEARCH
Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
arXiv CS.AI
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ArXi:2605.25814v1 Announce Type: cross Dirty entity resolution (ER), which identifies records referring to the same real-world entity from a single, messy dataset, is a fundamental task in data management and mining. However, the dominant blocking-matching-clustering paradigm for ER suffers from critical flaws.