SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence
Summary: SiriusBI is an industrial LLM-BI system combining coordinated modules with multi-round semantic clarification, knowledge-guided dialogue, and proactive querying beyond one-shot SQL generation. Its data-conditioned method selection enables efficient fine-tuning or low-cost cross-domain SIR-based generation, achieving 93%+ accuracy in deployment. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jie Jiang (Tencent)
- 2. Haining Xie (Tencent)
- 3. Siqi Shen (Peking University)
- 4. Yu Shen (Tencent)
- 5. Zihan Zhang (Tencent)
- 6. Meng Lei (Tencent)
- 7. Yifeng Zheng (Tencent)
- 8. Yang Li (Tencent)
- 9. Chunyou Li (Tencent)
- 10. Danqing Huang (Tencent)
- 11. Yinjun Wu (Peking University)
- 12. Wentao Zhang (Peking University)
- 13. Bin Cui (Peking University)
- 14. Peng Chen (Tencent)
BibTeX Citation
@article{jiang_vldb25,
title = {{SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence}},
author = {Jiang, Jie and Xie, Haining and Shen, Siqi and Shen, Yu and Zhang, Zihan and Lei, Meng and Zheng, Yifeng and Li, Yang and Li, Chunyou and Huang, Danqing and Wu, Yinjun and Zhang, Wentao and Cui, Bin and Chen, Peng},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {4860--4873},
doi = {10.14778/3750601.3750610},
url = {https://doi.org/10.14778/3750601.3750610},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,920 | CoeusBI: A Comprehensive Interactive Business Intelligence System Powered by LLMs at Baidu | 2026 | VLDB | 4.9793485e-05 |
| 10,997 | Demonstration of BobFlow: Human-Agent Collaboration Using Dataflows on Data Science Tasks | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 38 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00047394041 |
| 180 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.0002654471 |
| 217 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB | 0.00024465994 |
| 533 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00016826571 |
| 942 | SPARK: Top-k Keyword Query in Relational Databases | 2007 | SIGMOD | 0.00012956137 |
| 1,866 | ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems | 2024 | VLDB | 9.481643e-05 |
| 2,011 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.1896169e-05 |
| 2,117 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 9.0149494e-05 |
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