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Accelerating Tabular Inference: Training Data Generation with TENET
Summary: Tenet auto-generates diverse TNLI training examples from a few seeds using SQL evidence and semantic queries to extract and reinterpret table cells. It verbalizes these interpretations into hypotheses for interactive refinement, producing training sets that yield models competitive with manual labels.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14142
- Venue
- VLDB
- Year
- 2025
- Pagerank
- -
- Overall Rank
- 13,132 | 8.65%
- DOI
-
10.14778/3750601.3750657
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