UNITQA: A Unified Automated Tabular Question Answering System with Multi-Agent Large Language Models
Summary: UNITQA is a unified automated TQA system enabling multi-table queries across varied data sources via multi-agent LLMs. Five agents collaborate under a dynamic FSM scheduler; GUI and data connectors enable production deployment across diverse systems. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jun-Peng Zhu
- 2. Peng Cai
- 3. Kai Xu
- 4. Li Li
- 5. Yishen Sun
- 6. Shuai Zhou
- 7. Haihuang Su
- 8. Liu Tang
- 9. Qi Liu
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,784 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,872 | ReAcTable: Enhancing ReAct for Table Question Answering | 2024 | VLDB | 0.00010259702 |
| 4,739 | AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models | 2024 | VLDB | 5.959592e-05 |
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