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
- 2. Yongkang Sun
- 3. Jieming Shi
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