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Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]
Proceedings of the VLDB Endowment (PVLDB), 2023
24 April 2023
Alexandros Zeakis
G. Papadakis
Dimitrios Skoutas
Manolis Koubarakis
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Papers citing
"Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]"
5 / 5 papers shown
Title
Omni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution
Kalana Wijegunarathna
Kristin Stock
Christopher B. Jones
144
0
0
08 Aug 2025
Zero-Indexing Internet Search Augmented Generation for Large Language Models
Guangxin He
Zonghong Dai
Jiangcheng Zhu
Binqiang Zhao
Qicheng Hu
Chenyue Li
You Peng
Chen Wang
Binhang Yuan
337
1
0
31 Dec 2024
KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs
Yongqin Xu
Huan Li
Ke Chen
Lidan Shou
339
7
0
16 Oct 2024
Fine-tuning Large Language Models for Entity Matching
Aaron Steiner
Ralph Peeters
Christian Bizer
LRM
271
15
0
12 Sep 2024
Entity Matching using Large Language Models
International Conference on Extending Database Technology (EDBT), 2023
Ralph Peeters
Christian Bizer
253
33
0
17 Oct 2023
1