In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration

Summary: In-context clustering: prompt LLMs to cluster record sets directly (vs pairwise), reducing API calls/time and improving scalability. LLM-CER maps the design space (set size, diversity, ordering), adds cluster-merging and hallucination mitigation, yielding up to 150% accuracy gains and 5× fewer API calls. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID: 7517
Venue: SIGMOD
Year: 2026
Pagerank: 5.093636e-05
Overall Rank: 10,318 | 29.21%
DOI: 10.1145/3749170

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Authors

1. Jiajie Fu (Zhejiang University)
2. Haitong Tang (Zhejiang University)
3. Arijit Khan (Aalborg University; Bowling Green State University)
4. Sharad Mehrotra (University of California Irvine)
5. Xiangyu Ke (Zhejiang University)
6. Yunjun Gao (Zhejiang University)

BibTeX Citation

@inproceedings{fu_sigmod26,
        title = {{In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration}},
        author = {Fu, Jiajie and Tang, Haitong and Khan, Arijit and Mehrotra, Sharad and Ke, Xiangyu and Gao, Yunjun},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749170},
        url = {https://dl.acm.org/doi/10.1145/3749170},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
21	Similarity Search in High Dimensions via Hashing	1999	VLDB	0.00056760516
176	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00027191081
196	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00025780596
420	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00018789852
439	Corleone: Hands-Off Crowdsourcing for Entity Matching	2014	SIGMOD	0.00018464913
489	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.0001761456
529	Magellan: Toward Building Entity Matching Management Systems	2016	VLDB	0.00017096361
626	Entity Resolution: Theory, Practice & Open Challenges	2012	VLDB	0.00015656958
852	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00013604253
866	Pay-as-you-go User Feedback for Dataspace Systems	2008	SIGMOD	0.00013519288
871	Framework for Evaluating Clustering Algorithms in Duplicate Detection	2009	VLDB	0.00013496531
933	Question Selection for Crowd Entity Resolution	2013	VLDB	0.00013111293
1,443	Crowdsourcing Algorithms for Entity Resolution	2014	VLDB	0.00010773106
1,643	Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services	2017	SIGMOD	0.00010134956
2,120	Comparative Analysis of Approximate Blocking Techniques for Entity Resolution	2016	VLDB	9.1406654e-05
2,463	A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching	2020	SIGMOD	8.5486912e-05
2,475	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.5277654e-05
3,983	Crowd-Based Deduplication: An Adaptive Approach	2015	SIGMOD	6.9739851e-05
4,447	Dual-Objective Fine-Tuning of BERT for Entity Matching	2021	VLDB	6.6984471e-05
4,538	Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach	2016	SIGMOD	6.6404776e-05

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