Abacus: A Cost-Based Optimizer for Semantic Operator Systems
Summary: Abacus: cost-based optimizer for semantic-operator pipelines over unstructured docs, choosing physical implementations of LLM maps/filters/joins under quality–cost–latency objectives. Uses few validation examples / priors / LLM judge to estimate operator performance and globally optimize end-to-end systems. (summarized by gpt-5.4-mini on Apr 12 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Matthew Russo
- 2. Chunwei Liu
- 3. Sivaprasad Sudhir
- 4. Gerardo Vitagliano
- 5. Michael Cafarella
- 6. Tim Kraska
- 7. Samuel Madden
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,963 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 9.929429e-05 |
| 9,729 | Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems | 2025 | VLDB | 4.2942813e-05 |
| 9,972 | KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration | 2026 | CIDR | 4.1945683e-05 |
| 9,985 | Making Prompts First-Class Citizens for Adaptive LLM Pipelines | 2026 | CIDR | 4.1945683e-05 |
| 9,990 | Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics | 2026 | CIDR | 4.1945683e-05 |
| 10,144 | Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization | 2026 | SIGMOD | 4.1945683e-05 |
| 10,215 | Task Cascades for Efficient Unstructured Data Processing | 2026 | SIGMOD | 4.1945683e-05 |
| 10,325 | KEN: An Execution Engine for Unstructured Database Systems | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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