3 papers
cs.DB2026
DistillER: Knowledge Distillation in Entity Resolution with Large Language Models
Alexandros Zeakis, George Papadakis, Dimitrios Skoutas +1
Recent advances in Entity Resolution (ER) have leveraged Large Language Models (LLMs), achieving strong performance but at the cost of substantial computational resources or high f…
cs.DB2025
Auto-Configuring Entity Resolution Pipelines
Konstantinos Nikoletos, Vasilis Efthymiou, George Papadakis +1
The same real-world entity (e.g., a movie, a restaurant, a person) may be described in various ways on different datasets. Entity Resolution (ER) aims to find such different descri…
cs.DB2025
Progressive Entity Resolution: A Design Space Exploration
Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis +1
Entity Resolution (ER) is typically implemented as a batch task that processes all available data before identifying duplicate records. However, applications with time or computati…