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Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS

Summary: LOTUS introduces semantic operators for LLM-based filtering, joins, sorting, and aggregation with statistical accuracy guarantees via reference algorithms. Its optimizer composes model calls to cut costs—up to 1,000×—while preserving quality across real analytics workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h765aa3f701a33fb7
Venue
VLDB
Year
2025
Pagerank
7.7845174e-05
Overall Rank
2,982 | 79.96%
DOI
10.14778/3749646.3749685

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{patel_vldb25,
        title = {{Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS}},
        author = {Patel, Liana and Jha, Siddharth and Pan, Melissa and Gupta, Harshit and Asawa, Parth and Guestrin, Carlos and Zaharia, Matei},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {4171--4184},
        doi = {10.14778/3749646.3749685},
        url = {https://doi.org/10.14778/3749646.3749685},
        year = {2025}
}

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