Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents

Summary: Adda enables in-database feature generation via LLM-based agents for ML analytics; natural-language tasks generate SQL-ready feature code compiled as UDFs. On 14 datasets, 5 ML tasks: up to 33.2% AUC gains and 100x latency vs Madlib. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h61b78f3e1f6afcdf
Venue: SIGMOD
Year: 2025
Pagerank: 5.372368e-05
Overall Rank: 8,230 | 44.67%
DOI: 10.1145/3725262

Incoming Non-self Citations Over Time

Authors

1. Kuan Lu (Zhejiang University)
2. Zhihui Yang (Zhejiang University)
3. Sai Wu (Zhejiang University)
4. Ruichen Xia (Zhejiang University)
5. Dongxiang Zhang (Zhejiang University)
6. Gang Chen (Zhejiang University)

BibTeX Citation

@inproceedings{lu_sigmod25,
        title = {{Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents}},
        author = {Lu, Kuan and Yang, Zhihui and Wu, Sai and Xia, Ruichen and Zhang, Dongxiang and Chen, Gang},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725262},
        url = {https://dl.acm.org/doi/10.1145/3725262},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,448	EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines	2026	SIGMOD	4.9793485e-05
10,621	Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management	2026	SIGMOD	4.9793485e-05
10,932	IMLane: Composable Framework for Efficient AI Function Execution in Database Engine	2026	VLDB	4.9793485e-05
11,024	Bridging LLMs and Database Systems: A Deep Dive into Enhanced Relational Operators	2026	VLDB	4.9793485e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
34	The Design Of Postgres	1986	SIGMOD	0.00049142315
105	The MADlib Analytics Library or MAD Skills, the SQL	2012	VLDB	0.00033638251
329	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00020858443
1,991	RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation	2021	VLDB	9.2383849e-05
2,386	Vertica-ML: Distributed Machine Learning in Vertica Database	2020	SIGMOD	8.538263e-05
2,662	End-to-end Optimization of Machine Learning Prediction Queries	2022	SIGMOD	8.1596229e-05
2,830	DB4ML – An In-Memory Database Kernel with Machine Learning Support	2020	SIGMOD	7.9619979e-05
3,802	UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics	2018	VLDB	7.0132896e-05
3,969	Optimizing Machine Learning Inference Queries with Correlative Proxy Models	2022	VLDB	6.8899861e-05
8,322	SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions	2024	CIDR	5.3545825e-05

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