Generalized Entity Matching with Adaptivity via Large Language Models

Summary: GLEAM tackles unlabeled generalized entity matching with an LLM-guided structure/content graph, adaptive GMM–Bayesian candidate stopping, and hierarchical domain-aware reasoning. It improves F1 by up to 25.7% while reducing LLM calls across heterogeneous datasets. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID: h00dc85cd1137c23a
Venue: SIGMOD
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,462 | 29.66%
DOI: 10.1145/3802066

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Xingguang Chen (National University of Singapore)
2. Yimin Shi (National University of Singapore)
3. Xiaokui Xiao (National University of Singapore)

BibTeX Citation

@inproceedings{chen_sigmod26,
        title = {{Generalized Entity Matching with Adaptivity via Large Language Models}},
        author = {Chen, Xingguang and Shi, Yimin and Xiao, Xiaokui},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802066},
        url = {https://dl.acm.org/doi/10.1145/3802066},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
134	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.00030043481
158	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00028046388
174	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation	2024	VLDB	0.00026790979
457	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.00017907103
530	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00016855162
2,323	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD	8.6348884e-05
2,514	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.3648432e-05
3,785	Entity Resolution with Evolving Rules	2010	VLDB	7.0212807e-05
4,051	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.8285415e-05
5,076	Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond	2021	SIGMOD	6.2860582e-05
6,300	Sparkly: A Simple yet Surprisingly Strong TF/IDF Blocker for Entity Matching	2023	VLDB	5.8189161e-05
7,181	FlexER: Flexible Entity Resolution for Multiple Intents	2023	SIGMOD	5.5923113e-05
7,283	PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching	2023	VLDB	5.5665122e-05
11,732	Efficient Approximation Framework for Attribute Recommendation	2023	SIGMOD	4.9793485e-05

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