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DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
Summary: DocETL: declarative framework that automatically decomposes and rewrites LLM-based document processing pipelines via agentic "rewrite directives" and logical plan rewrites to mitigate LLM omissions. Agent-guided evaluation with latency-aware optimization yields 21–80% accuracy gains.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13941
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 0.00010351287
- Overall Rank
- 1,839 | 87.23%
- DOI
-
10.14778/3746405.3746426
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,639 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
6.8886648e-05 |
| 5,149 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
5.655398e-05 |
| 5,429 |
Logical and Physical Optimizations for SQL Query Execution over Large Language Models |
2025 |
SIGMOD |
5.511638e-05 |
| 7,115 |
VectraFlow: Integrating Vectors into Stream Processing |
2025 |
CIDR |
4.822227e-05 |
| 8,351 |
PalimpChat: Declarative and Interactive AI analytics |
2025 |
SIGMOD |
4.5340791e-05 |
| 8,464 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
4.5003888e-05 |
| 9,728 |
Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems |
2025 |
VLDB |
4.2901665e-05 |
| 9,967 |
Please Don't Kill My Vibe: Empowering Agents with Data Flow Control |
2026 |
CIDR |
4.1905499e-05 |
| 9,971 |
KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration |
2026 |
CIDR |
4.1905499e-05 |
| 9,984 |
Making Prompts First-Class Citizens for Adaptive LLM Pipelines |
2026 |
CIDR |
4.1905499e-05 |
| 9,989 |
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics |
2026 |
CIDR |
4.1905499e-05 |
| 10,064 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,069 |
Drama: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queries |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,117 |
AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,126 |
Visual Template Inference for Data Extraction from Documents |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,144 |
Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,194 |
PRISM: Navigating Cost–Accuracy Trade-offs for NL2SQL |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,215 |
Task Cascades for Efficient Unstructured Data Processing |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,277 |
SemBench: A Benchmark for Semantic Query Processing Engines |
2026 |
VLDB |
4.1905499e-05 |
| 10,285 |
Relational Deep Dive: Error-Aware Queries Over Unstructured Data |
2026 |
VLDB |
4.1905499e-05 |
| 10,332 |
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines |
2026 |
VLDB |
4.1905499e-05 |
| 10,337 |
KEN: An Execution Engine for Unstructured Database Systems |
2026 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 94 |
CrowdDB: Answering Queries with Crowdsourcing |
2011 |
SIGMOD |
0.00051273089 |
| 97 |
Maintaining Views Incrementally |
1993 |
SIGMOD |
0.00050863077 |
| 246 |
Crowdsourced Databases: Query Processing with People |
2011 |
CIDR |
0.00030952631 |
| 317 |
NoScope: Optimizing Neural Network Queries over Video at Scale |
2017 |
VLDB |
0.0002798145 |
| 454 |
An Overview of Query Optimization in Relational Systems |
1998 |
PODS |
0.00022796106 |
| 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 |
| 1,404 |
DB-BERT: A Database Tuning Tool that "Reads the Manual" |
2022 |
SIGMOD |
0.00012179714 |
| 2,013 |
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing |
2025 |
CIDR |
9.7986166e-05 |
| 3,003 |
Chorus: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
7.7358219e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 3,513 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
7.0203909e-05 |
| 3,639 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
6.8886648e-05 |
| 3,803 |
Revisiting Prompt Engineering via Declarative Crowdsourcing |
2024 |
CIDR |
6.7498941e-05 |
| 3,982 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
6.5595332e-05 |
| 5,149 |
Abacus: A Cost-Based Optimizer for Semantic Operator Systems |
2026 |
VLDB |
5.655398e-05 |
| 5,254 |
CDB: A Crowd-Powered Database System |
2018 |
VLDB |
5.5991922e-05 |
| 6,071 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
5.2231739e-05 |
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Paper |
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| 10,285 |
Relational Deep Dive: Error-Aware Queries Over Unstructured Data |
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4.1905499e-05 |
| 9,152 |
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VLDB |
4.380727e-05 |
| 13,148 |
DocDB: A Database for Unstructured Document Analysis |
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VLDB |
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