Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations
Summary: Introduce a retrieve-and-verify framework that selects compact, informative column contexts (instead of serializing whole tables) via unsupervised retrieval balancing relevance and diversity and role-aware target-context encoding (REVEAL). REVEAL+ adds a learned verification classifier with top-down inference to efficiently refine context subsets (quadratic search), yielding consistent CTA/CPA accuracy gains over SOTA across six benchmarks. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Zhihao Ding (Hong Kong Polytechnic University)
- 2. Yongkang Sun (Hong Kong Polytechnic University)
- 3. Jieming Shi (Hong Kong Polytechnic University)
BibTeX Citation
@inproceedings{ding_sigmod26,
title = {{Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations}},
author = {Ding, Zhihao and Sun, Yongkang and Shi, Jieming},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769823},
url = {https://dl.acm.org/doi/10.1145/3769823},
year = {2026}
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