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

Summary: Semantic operators: a formalism offering statistical accuracy guarantees for NL-parameterized LLM-based DB ops (filter/sort/join/agg) implemented via composed model calls. LOTUS' optimizer selects/composes AI algorithms to minimize cost with guarantees, yielding up to 1,000× operator speedups and 3.6× end-to-end gains while matching or exceeding SOTA accuracy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14035
Venue
VLDB
Year
2025
Pagerank
4.5041113e-05
Overall Rank
8,469 | 41.09%
DOI
10.14778/3749646.3749685

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,171 Abacus: A Cost-Based Optimizer for Semantic Operator Systems 2026 VLDB 5.6464993e-05
10,215 Task Cascades for Efficient Unstructured Data Processing 2026 SIGMOD 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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