Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration
Summary: Unicorn: a unified multi-task data-matching model for diverse integration tasks. A single Encoder+Matcher with mixture-of-experts enables cross-task knowledge sharing and zero-shot support across 20 datasets and 7 tasks, outperforming ad-hoc baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jianhong Tu
- 2. Ju Fan
- 3. Nan Tang
- 4. Peng Wang
- 5. Guoliang Li
- 6. Xiaoyong Du
- 7. Xiaofeng Jia
- 8. Song Gao
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,158 | Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation | 2022 | VLDB | 4.5701678e-05 |
| 9,153 | Unify: A System For Unstructured Data Analytics | 2025 | VLDB | 4.380727e-05 |
| 6,570 | Domain Adaptation for Deep Entity Resolution | 2022 | SIGMOD | 5.0017341e-05 |
| 7,667 | Human-in-the-loop Data Integration | 2017 | VLDB | 4.6791871e-05 |
| 5,080 | Reducing Uncertainty of Schema Matching via Crowdsourcing | 2013 | VLDB | 5.7081186e-05 |
| 8,825 | Analyzing and Revising Data Integration Schemas to Improve Their Matchability | 2008 | VLDB | 4.4371579e-05 |
| 11,225 | Splitting Tuples of Mismatched Entities | 2023 | SIGMOD | 4.1905499e-05 |
| 9,023 | Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications | 2020 | SIGMOD | 4.4037187e-05 |
| 9,462 | The Battleship Approach to the Low Resource Entity Matching Problem | 2023 | SIGMOD | 4.3324933e-05 |
| 1,914 | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks | 2020 | SIGMOD | 0.00010111859 |