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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
- 7528
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,215 | 29.01%
- DOI
-
10.1145/3786702
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
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 |
| 140 |
Predicate Migration: Optimizing Queries with Expensive Predicates |
1993 |
SIGMOD |
0.00042289025 |
| 317 |
NoScope: Optimizing Neural Network Queries over Video at Scale |
2017 |
VLDB |
0.0002798145 |
| 332 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
0.00027173479 |
| 430 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00023406426 |
| 531 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
0.0002079072 |
| 694 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018031141 |
| 997 |
CAESURA: Language Models as Multi-Modal Query Planners |
2024 |
CIDR |
0.00014726927 |
| 1,088 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00014158762 |
| 1,574 |
Approximate Query Processing: No Silver Bullet |
2017 |
SIGMOD |
0.00011289028 |
| 1,839 |
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing |
2025 |
VLDB |
0.00010351287 |
| 2,013 |
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing |
2025 |
CIDR |
9.7986166e-05 |
| 3,465 |
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency |
2025 |
VLDB |
7.0668293e-05 |
| 3,553 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
6.9763548e-05 |
| 3,639 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
6.8886648e-05 |
| 4,405 |
Filtering with Approximate Predicates |
1998 |
VLDB |
6.2048285e-05 |
| 4,492 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
6.1374891e-05 |
| 4,703 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
5.9793615e-05 |
| 5,149 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
5.655398e-05 |
| 5,168 |
FiGO: Fine-Grained Query Optimization in Video Analytics |
2022 |
SIGMOD |
5.6446115e-05 |
| 5,206 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
5.625641e-05 |
| 5,756 |
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System |
2025 |
SIGMOD |
5.3387063e-05 |
| 7,115 |
VectraFlow: Integrating Vectors into Stream Processing |
2025 |
CIDR |
4.822227e-05 |
| 7,335 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
4.7533835e-05 |
| 7,369 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
4.7452331e-05 |
| 7,703 |
AOP: Automated and Interactive LLM Pipeline Orchestration for Answering Complex Queries |
2025 |
CIDR |
4.668568e-05 |
| 7,911 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
4.6143141e-05 |
| 8,464 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
4.5003888e-05 |
| 8,975 |
A Learned Query Rewrite System |
2023 |
VLDB |
4.4146872e-05 |
| 9,240 |
ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries |
2025 |
VLDB |
4.3648789e-05 |
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