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)
Incoming Non-self Citations Over Time
Authors
- 1. Liana Patel
- 2. Siddharth Jha
- 3. Melissa Pan
- 4. Harshit Gupta
- 5. Parth Asawa
- 6. Carlos Guestrin
- 7. Matei Zaharia
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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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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