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Blocking
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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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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Pushing the Limits of Extreme Weather: Constructing Extreme Heatwave Storylines with Differentiable Climate Models
NoLoCo: No-all-reduce Low Communication Training Method for Large Models
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier
The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
Sensitivity of DC Network Representation for GIC Analysis
Derailing Non-Answers via Logit Suppression at Output Subspace Boundaries in RLHF-Aligned Language Models
Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework
Generative RLHF-V: Learning Principles from Multi-modal Human Preference
AI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network
ELIS: Efficient LLM Iterative Scheduling System with Response Length Predictor
Non-Blocking Robustness Analysis in Discrete Event Systems
Using mathematical models of heart cells to assess the safety of new pharmaceutical drugs
Leveraging Language Models for Automated Patient Record Linkage
LithOS: An Operating System for Efficient Machine Learning on GPUs
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks
Improvable Students in School Choice
Progent: Programmable Privilege Control for LLM Agents
Ctrl-Z: Controlling AI Agents via Resampling
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks
Deep Learning Meets Teleconnections: Improving S2S Predictions for European Winter Weather
On-Chip and Off-Chip TIA Amplifiers for Nanopore Signal Readout Design, Performance and Challenges: A Review
Generative Classifier for Domain Generalization
Matching, Unanticipated Experiences, Divorce, Flirting, Rematching, Etc
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference
Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory
Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks
CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Minimizing Instability in Strategy-Proof Matching Mechanism Using A Linear Programming Approach
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Observability-Blocking Controls for Double-Integrator and Higher Order Integrator Networks
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation
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