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Task Cascades for Efficient Unstructured Data Processing

Summary: Task cascades generalize model cascades for LLM-based document processing by varying not only the model, but also the queried span and even the operation, exploiting simpler correlated sub-tasks and partial evidence. An iterative optimizer plus statistical accuracy guarantees yields 36% lower cost than standard cascades at 90% target accuracy. (summarized by gpt-5.4-mini on Apr 11 2026)

Paper ID
7718
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,504 | 27.94%
DOI
10.1145/3786702

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Authors

BibTeX Citation

@inproceedings{shankar_sigmod26,
        title = {{Task Cascades for Efficient Unstructured Data Processing}},
        author = {Shankar, Shreya and Zeighami, Sepanta and Parameswaran, Aditya G.},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786702},
        url = {https://dl.acm.org/doi/10.1145/3786702},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 cited papers.

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

Rank Cited Paper Year Venue Pagerank
132 Predicate Migration: Optimizing Queries with Expensive Predicates 1993 SIGMOD 0.00030378624
284 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022370521
295 Accelerating Machine Learning Inference with Probabilistic Predicates 2018 SIGMOD 0.00022238183
363 Approximate Query Processing: Taming the TeraBytes! A Tutorial 2001 VLDB 0.0002005475
508 Random Sampling for Histogram Construction: How much is enough? 1998 SIGMOD 0.00017275873
569 BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics 2020 VLDB 0.00016348191
713 Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes 2024 VLDB 0.00014672521
950 CAESURA: Language Models as Multi-Modal Query Planners 2024 CIDR 0.0001302491
1,108 Approximate Query Processing: No Silver Bullet 2017 SIGMOD 0.00012145154
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
2,553 LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency 2025 VLDB 8.4283807e-05
2,898 Approximate Selection with Guarantees using Proxies 2020 VLDB 7.978725e-05
2,956 The Design of an LLM-powered Unstructured Analytics System 2025 CIDR 7.9203461e-05
3,684 ThalamusDB: Approximate Query Processing on Multi-Modal Data 2024 SIGMOD 7.2033959e-05
3,766 TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data 2022 SIGMOD 7.1430942e-05
3,907 Accelerating Approximate Aggregation Queries with Expensive Predicates 2021 VLDB 7.0278233e-05
4,081 Abacus: A Cost-Based Optimizer for Semantic Operator Systems 2026 VLDB 6.9165634e-05
4,375 FiGO: Fine-Grained Query Optimization in Video Analytics 2022 SIGMOD 6.7369552e-05
4,435 Filtering with Approximate Predicates 1998 VLDB 6.7078883e-05
5,485 Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System 2025 SIGMOD 6.2013279e-05
6,118 ELEET: Efficient Learned Query Execution over Text and Tables 2024 VLDB 5.9698795e-05
6,778 VectraFlow: Integrating Vectors into Stream Processing 2025 CIDR 5.7772535e-05
7,316 SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint 2025 SIGMOD 5.646695e-05
7,439 AOP: Automated and Interactive LLM Pipeline Orchestration for Answering Complex Queries 2025 CIDR 5.6181103e-05
7,568 Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS 2025 VLDB 5.5953379e-05
7,648 Accelerating Aggregation Queries on Unstructured Streams of Data 2023 VLDB 5.575838e-05
8,453 A Learned Query Rewrite System 2023 VLDB 5.4229225e-05
8,627 ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries 2025 VLDB 5.3969543e-05
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