Entity Resolution

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Overview

Entity resolution identifies duplicate records or links records across databases when they refer to the same person, organization, product, place, or other entity. Systems typically narrow the search with blocking or retrieval, then compare candidate pairs using string and attribute similarity, learned embeddings, language models, or structural constraints; some also use graphs or multimodal evidence. Recent work combines these methods with label-efficient training, budgeted model queries, and human review, and evaluates them across settings such as multilingual records, enterprise data, and historical sources. A central challenge is balancing recall against false merges: missed candidates cannot be recovered by a better matcher, while a single mistaken link can spread through a cluster, so evaluation must measure both pair matching and final clustering quality.

Latest papers

CardsList

40 papers4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers

    Apr 14, 2026Vageesh Kumar SaxenaEntity ResolutionAuthorship Attribution

  2. A Tight Expressivity Hierarchy for GNN-Based Entity Resolution in Master Data Management

    Mar 28, 2026Ashwin GanesanEntity ResolutionGNN Expressivity

    Centre for Cybersecurity, Trust and Reliability (CyStar), Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Tamilnadu, India.

  3. Prompt-tuning with Attribute Guidance for Low-resource Entity Matching

    Mar 17, 2026Lihui Liu, Carl YangEntity ResolutionPrompt Tuning

    Wayne State University, Detroit, MI, USA · Emory University, Atlanta, GA, USA

  4. Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code

    Mar 9, 2026Clémence Sebe, Olivier Ferret, Aurélie Névéol +3Entity ResolutionScientific Reproducibility

    Universit´e Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Num´erique, 91400, Orsay, France · Universit´e Paris-Saclay, CEA, List, F-91120, Palaiseau, France · Department of Computer Science, Humboldt-Universität zu Berlin, 10099, Berlin, Germany +1

  5. A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments

    Mar 4, 2026Mohammed Omer Shakeel AhmedEntity ResolutionPrivacy-Preserving ML

    University of Texas at Arlington Dallas, USA

  6. OpenSanctions Pairs: Large-Scale Entity Matching with LLMs

    Feb 24, 2026Chandler Smith, Magnus Sesodia, Friedrich Lindenberg +1Entity ResolutionEntity Linking

    University of Oxford · OpenSanctions

  7. Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information Systems

    Feb 17, 2026Volodymyr YuzefovychData IntegrationEntity Resolution

    Institute for Information Recording of the National Academy of Sciences of Ukraine, 2 Mykoly Shpaka St, Kyiv, Ukraine.

  8. Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Batch Processing Framework

    Feb 5, 2026Chuangtao Ma, Zeyu Zhang, Arijit Khan +2Entity ResolutionRetrieval-Augmented Generation

    University of Amsterdam Amsterdam, the Netherlands · BIFOLD & TU Berlin Berlin, Germany

  9. EnsembleLink: Accurate Record Linkage Without Training Data

    Jan 29, 2026Noah DasanaikeEntity ResolutionComputational Social Science

    PhD Candidate, Department of Government, Harvard University

  10. MetaJoin: Adaptive Join Selections for Heterogeneous Tables

    Dec 2, 2025Ning Wang, Sainyam GalhotraRelational DatabasesEntity Resolution

    Cornell University Ithaca, NY, USA