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Generation of Training Examples for Tabular Natural Language Inference
Summary: Tenet automates TNLI data generation on tables via SQL-based evidence-queries and semantic-queries for varied reasoning. It generates counterfactuals by injecting errors and uses table-only generation to yield diverse, human-like TNLI examples, competitive with manually written data.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6746
- Venue
- SIGMOD
- Year
- 2023
- Pagerank
- 4.4233018e-05
- Overall Rank
- 8,892 | 38.21%
- DOI
-
10.1145/3626730
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1,456 |
Query From Examples: An Iterative, Data-Driven Approach to Query Construction |
2015 |
VLDB |
0.00011891284 |
| 1,575 |
Reverse Engineering Complex Join Queries |
2013 |
SIGMOD |
0.00011288804 |
| 2,325 |
DBPal: A Fully Pluggable NL2SQL Training Pipeline |
2020 |
SIGMOD |
9.0277894e-05 |
| 3,636 |
A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems |
2021 |
SIGMOD |
6.8920532e-05 |
| 3,668 |
Reverse Engineering Aggregation Queries |
2017 |
VLDB |
6.8581987e-05 |
| 4,636 |
Reverse Engineering SPJ-Queries from Examples |
2017 |
PODS |
6.0270157e-05 |
| 4,916 |
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management |
2022 |
VLDB |
5.827729e-05 |
| 5,363 |
An In-Depth Benchmarking of Text-to-SQL Systems |
2021 |
SIGMOD |
5.5467941e-05 |
| 5,457 |
Transformers for Tabular Data Representation: A Tutorial on Models and Applications |
2022 |
VLDB |
5.4960654e-05 |
| 8,588 |
Exploratory Training: When Annotators Learn About Data |
2023 |
SIGMOD |
4.4853244e-05 |
| 11,350 |
Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data |
2022 |
SIGMOD |
4.1905499e-05 |
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| 4,168 |
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- |