FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis

Summary: FinSQL: a model-agnostic LLM-based Text-to-SQL framework for finance, with prompt design, efficient fine-tuning, and output calibration. BULL, a financial T2S benchmark with wide tables across funds, stocks, and macro data, yields few-shot cross-database gains up to 36.64%. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6845
Venue: SIGMOD
Year: 2024
Pagerank: 6.8031106e-05
Overall Rank: 4,251 | 70.84%
DOI: 10.1145/3626426.3653375

Incoming Non-self Citations Over Time

Authors

1. Chao Zhang (Zhejiang University)
2. Yuren Mao (Zhejiang University)
3. Yijiang Fan (Zhejiang University)
4. Yu Mi (Zhejiang University)
5. Yunjun Gao (Zhejiang University)
6. Lu Chen (Zhejiang University)
7. Dongfang Lou (Hundsun Technologies Inc.)
8. Jinshu Lin (Hundsun Technologies Inc.)

BibTeX Citation

@inproceedings{zhang_sigmod24,
        title = {{FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis}},
        author = {Zhang, Chao and Mao, Yuren and Fan, Yijiang and Mi, Yu and Gao, Yunjun and Chen, Lu and Lou, Dongfang and Lin, Jinshu},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626426.3653375},
        url = {https://dl.acm.org/doi/10.1145/3626426.3653375},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,627	ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries	2025	VLDB	5.3969543e-05
9,047	SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation	2026	VLDB	5.3251649e-05
9,305	The Power of Constraints in Natural Language to SQL Translation	2025	VLDB	5.289545e-05
10,216	DBugScribe: Automatic Database Bug Reproduction from Community Reports	2026	SIGMOD	5.093636e-05
10,276	OctoSelector: Efficient and Effective Batch-Aware Model Selection for Large Language Models	2026	SIGMOD	5.093636e-05
10,344	Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks	2026	SIGMOD	5.093636e-05
10,499	SchemaRAG: A Schema-aware Retrieval-Augmented Generation Framework for Text-to-SQL	2026	SIGMOD	5.093636e-05
10,850	Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index	2025	VLDB	5.093636e-05
10,940	Evoschema: Towards Text-To-Sql Robustness Against Schema Evolution	2025	VLDB	5.093636e-05
11,013	Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models	2025	VLDB	5.093636e-05

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
279	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation	2024	VLDB	0.00022468369
2,748	Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning	2023	SIGMOD	8.1707811e-05

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