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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
7200
Venue
SIGMOD
Year
2025
Pagerank
4.3341665e-05
Overall Rank
9,476 | 34.08%
DOI
10.1145/3725262

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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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