OpenTFV: An Open Domain Table-Based Fact Verification System
Summary: OpenTFV enables open-domain, table-based fact verification by retrieving relevant tables for a claim and returning per-table verifications with natural-language explanations. Proof-of-concept on COVID-19 academic tables and Wiki-tables demonstrates cross-domain applicability beyond closed-domain methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Zihui Gu (Renmin University of China)
- 2. Ruixue Fan (Renmin University of China)
- 3. Xiaoman Zhao (Renmin University of China)
- 4. Meihui Zhang (Beijing Institute of Technology)
- 5. Ju Fan (Renmin University of China)
- 6. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@inproceedings{gu_sigmod22,
title = {{OpenTFV: An Open Domain Table-Based Fact Verification System}},
author = {Gu, Zihui and Fan, Ruixue and Zhao, Xiaoman and Zhang, Meihui and Fan, Ju and Du, Xiaoyong},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3520163},
url = {https://dl.acm.org/doi/10.1145/3514221.3520163},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,787 | Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL | 2024 | VLDB | 7.1249098e-05 |
| 9,177 | VerifAI: Verified Generative AI | 2024 | CIDR | 5.3078984e-05 |
| 10,931 | AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 975 | Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search | 2012 | SIGMOD | 0.00012870645 |
| 2,019 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 9.2983994e-05 |
| 3,127 | Toward Computational Fact-Checking | 2014 | VLDB | 7.7308958e-05 |
| 4,963 | Scrutinizer: Fact Checking Statistical Claims | 2020 | VLDB | 6.4260475e-05 |
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