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Entity Resolution
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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)
Surveys on entity resolution:
Christophides et al.: End-to-End Entity Resolution for Big Data: A Survey, 2020.
Barlaug and Gulla: Neural Networks for Entity Matching: A Survey, 2021.
The task of entity resolution is closely related to the task of entity alignment which focuses on matching entities between knowledge bases. The task of entity linking differs from entity resolution as entity linking focuses on identifying entity mentions in free text.
논문
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
ChatPD: An LLM-driven Paper-Dataset Networking System
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
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information
Generative Classifier for Domain Generalization
Matching, Unanticipated Experiences, Divorce, Flirting, Rematching, Etc
Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
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
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants
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
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