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)
Incoming Non-self Citations Over Time
Authors
- 1. Kuan Lu
- 2. Zhihui Yang
- 3. Sai Wu
- 4. Ruichen Xia
- 5. Dongxiang Zhang
- 6. Gang Chen
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,143 | Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management | 2026 | SIGMOD | 4.1945683e-05 |
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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 |
|---|---|---|---|---|
| 44 | The Design Of Postgres | 1986 | SIGMOD | 0.00071838587 |
| 140 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00042270404 |
| 517 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB | 0.00021169035 |
| 2,349 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 8.9876423e-05 |
| 2,642 | Vertica-ML: Distributed Machine Learning in Vertica Database | 2020 | SIGMOD | 8.3851878e-05 |
| 3,099 | DB4ML – An In-Memory Database Kernel with Machine Learning Support | 2020 | SIGMOD | 7.5642871e-05 |
| 3,407 | End-to-end Optimization of Machine Learning Prediction Queries | 2022 | SIGMOD | 7.1295646e-05 |
| 4,916 | UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics | 2018 | VLDB | 5.8300787e-05 |
| 5,072 | Optimizing Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 5.7185674e-05 |
| 8,208 | SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions | 2024 | CIDR | 4.5581306e-05 |
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