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CAESURA: Language Models as Multi-Modal Query Planners

Summary: Introduces Language-Model-Driven Query Planning: use LMs to translate natural-language queries into executable multi-modal query plans with operators over arbitrary modalities (images, text, video), unlike traditional SQL planners. Presents CAESURA, a GPT-4 prototype demonstrating feasibility on two datasets and proposing techniques to improve LM planning robustness for end-to-end multi-modal query execution. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
504
Venue
CIDR
Year
2024
Pagerank
0.0001302491
Overall Rank
950 | 93.49%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{urban_cidr24,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '24},
        title = {{CAESURA: Language Models as Multi-Modal Query Planners}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Urban, Matthias and Binnig, Carsten},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 25 of 25 citing papers.

Rank Citing Paper Year Venue Pagerank
1,245 Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing 2025 CIDR 0.00011507415
1,343 DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing 2025 VLDB 0.00011095866
1,981 ReAcTable: Enhancing ReAct for Table Question Answering 2024 VLDB 9.3579557e-05
2,956 The Design of an LLM-powered Unstructured Analytics System 2025 CIDR 7.9203461e-05
4,045 Logical and Physical Optimizations for SQL Query Execution over Large Language Models 2025 SIGMOD 6.9394654e-05
4,081 Abacus: A Cost-Based Optimizer for Semantic Operator Systems 2026 VLDB 6.9165634e-05
5,220 Databases Unbound: Querying All of the World’s Bytes with AI 2024 VLDB 6.3108362e-05
6,118 ELEET: Efficient Learned Query Execution over Text and Tables 2024 VLDB 5.9698795e-05
6,371 QUEST: Query Optimization in Unstructured Document Analysis 2025 VLDB 5.8962187e-05
7,439 AOP: Automated and Interactive LLM Pipeline Orchestration for Answering Complex Queries 2025 CIDR 5.6181103e-05
7,694 PalimpChat: Declarative and Interactive AI analytics 2025 SIGMOD 5.5661389e-05
7,809 Can Large Language Models Be Query Optimizer for Relational Databases? 2026 SIGMOD 5.5399022e-05
8,829 Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees 2026 SIGMOD 5.3613784e-05
8,868 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 5.3546848e-05
8,906 Unveiling Challenges for LLMs in Enterprise Data Engineering 2026 VLDB 5.3483178e-05
9,307 Unify: A System For Unstructured Data Analytics 2025 VLDB 5.289545e-05
9,841 Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems 2025 VLDB 5.2101877e-05
10,120 KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration 2026 CIDR 5.093636e-05
10,137 Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics 2026 CIDR 5.093636e-05
10,140 BridgeScope: A Universal Toolkit for Bridging Large Language Models and Databases 2026 CIDR 5.093636e-05
10,401 SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer 2026 SIGMOD 5.093636e-05
10,433 Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization 2026 SIGMOD 5.093636e-05
10,501 SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2026 SIGMOD 5.093636e-05
10,504 Task Cascades for Efficient Unstructured Data Processing 2026 SIGMOD 5.093636e-05
10,572 Relational Deep Dive: Error-Aware Queries Over Unstructured Data 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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