Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution 事件

Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution arXiv:2605.25814v1 Announce Type: new Abstract: 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. Its cascaded, decoupled workflow essentially produces a static, sparse graph plagu