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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

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Showing 1–25 of 524 papers

TitleStatusHype
SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion ModelsCode4
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM AgentsCode2
Efficient LLM Scheduling by Learning to RankCode2
AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker PreventionCode2
ScatterFormer: Efficient Voxel Transformer with Scattered Linear AttentionCode2
Wavelet Diffusion Models are fast and scalable Image GeneratorsCode2
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking DecoderCode2
NoLoCo: No-all-reduce Low Communication Training Method for Large ModelsCode1
Progent: Programmable Privilege Control for LLM AgentsCode1
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language ModelsCode1
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?Code1
Gandalf the Red: Adaptive Security for LLMsCode1
Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question AnsweringCode1
Queue management for slo-oriented large language model servingCode1
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length PredictionCode1
Masked Graph Autoencoder with Non-discrete BandwidthsCode1
Boosting Multi-view Stereo with Late Cost AggregationCode1
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsCode1
A Novel Geo-Localization Method for UAV and Satellite Images Using Cross-View Consistent AttentionCode1
LinkTransformer: A Unified Package for Record Linkage with Transformer Language ModelsCode1
AltDiffusion: A Multilingual Text-to-Image Diffusion ModelCode1
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion ModelCode1
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node ClassificationCode1
Path-Specific Counterfactual Fairness for Recommender SystemsCode1
Road Planning for Slums via Deep Reinforcement LearningCode1
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