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PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching

Summary: PromptEM: first low-resource generalized entity matching method using GEM-specific prompt-tuning, improved pseudo-labeling, and efficient self-training to align heterogeneous record formats. Outperforms prior methods on eight real benchmarks in effectiveness and efficiency. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13198
Venue
VLDB
Year
2023
Pagerank
4.427232e-05
Overall Rank
8,911 | 38.01%
DOI
10.14778/3565816.3565836

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,040 3dSAGER: Geospatial Entity Resolution over 3D Objects 2026 SIGMOD 4.1945683e-05
11,006 FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data 2024 VLDB 4.1945683e-05
11,054 Enriching Relations with Additional Attributes for ER 2024 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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