| 713 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00014672521 |
| 1,337 |
DB-BERT: A Database Tuning Tool that "Reads the Manual" |
2022 |
SIGMOD |
0.00011117488 |
| 1,712 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
9.9492299e-05 |
| 1,815 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2018 |
VLDB |
9.6894541e-05 |
| 2,521 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
8.4729505e-05 |
| 2,540 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.45187e-05 |
| 3,158 |
Solving the Join Ordering Problem via Mixed Integer Linear Programming |
2017 |
SIGMOD |
7.6888079e-05 |
| 3,319 |
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer |
2016 |
VLDB |
7.5236413e-05 |
| 3,684 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
7.2033959e-05 |
| 3,926 |
UDO: Universal Database Optimization using Reinforcement Learning |
2021 |
VLDB |
7.0128068e-05 |
| 4,449 |
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management |
2022 |
VLDB |
6.697553e-05 |
| 4,880 |
An Incremental Anytime Algorithm for Multi-Objective Query Optimization |
2015 |
SIGMOD |
6.4656221e-05 |
| 4,963 |
Scrutinizer: Fact Checking Statistical Claims |
2020 |
VLDB |
6.4260475e-05 |
| 5,077 |
Verifying Text Summaries of Relational Data Sets |
2019 |
SIGMOD |
6.3730257e-05 |
| 5,124 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
6.3567981e-05 |
| 5,137 |
Exact Cardinality Query Optimization with Bounded Execution Cost |
2019 |
SIGMOD |
6.3507372e-05 |
| 5,354 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
6.2515841e-05 |
| 5,548 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
6.1790655e-05 |
| 6,378 |
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 |
2023 |
VLDB |
5.8929835e-05 |
| 6,964 |
Data Vocalization with CiceroDB |
2019 |
CIDR |
5.7303405e-05 |
| 7,038 |
Towards NLP-Enhanced Data Profiling Tools |
2022 |
CIDR |
5.7204576e-05 |
| 7,136 |
Mining Subjective Properties on the Web |
2015 |
SIGMOD |
5.6939829e-05 |
| 7,316 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
5.646695e-05 |
| 7,511 |
Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero |
2020 |
VLDB |
5.6029996e-05 |
| 7,633 |
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets |
2019 |
VLDB |
5.5771082e-05 |
| 7,865 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
5.5282752e-05 |
| 7,910 |
Quantum-Inspired Digital Annealing for Join Ordering |
2024 |
VLDB |
5.5181056e-05 |
| 7,978 |
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning |
2023 |
VLDB |
5.514996e-05 |
| 8,068 |
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning |
2021 |
SIGMOD |
5.4941082e-05 |
| 8,127 |
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” |
2021 |
VLDB |
5.4826853e-05 |
| 8,669 |
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual |
2022 |
SIGMOD |
5.3879261e-05 |
| 8,698 |
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms |
2023 |
VLDB |
5.3830073e-05 |
| 8,831 |
A Fast Randomized Algorithm for Multi-Objective Query Optimization |
2016 |
SIGMOD |
5.3607984e-05 |
| 8,868 |
SemBench: A Benchmark for Semantic Query Processing Engines |
2026 |
VLDB |
5.3546848e-05 |
| 9,024 |
Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
2025 |
SIGMOD |
5.3299884e-05 |
| 9,351 |
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger |
2024 |
VLDB |
5.2839552e-05 |
| 9,446 |
Parallelizing Query Optimization on Shared-Nothing Architectures |
2016 |
VLDB |
5.2667452e-05 |
| 9,796 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
5.21848e-05 |
| 9,969 |
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation |
2026 |
VLDB |
5.1845938e-05 |
| 10,319 |
Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing |
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 |
| 10,717 |
Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
SIGMOD |
5.093636e-05 |
| 10,737 |
SwellDB: Dynamic Query-Driven Table Generation with Large Language Models |
2025 |
SIGMOD |
5.093636e-05 |
| 10,983 |
CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
VLDB |
5.093636e-05 |
| 11,497 |
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning |
2023 |
VLDB |
5.093636e-05 |
| 11,582 |
BABOONS: Black-Box Optimization of Data Summaries in Natural Language |
2022 |
VLDB |
5.093636e-05 |
| 11,658 |
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries |
2021 |
SIGMOD |
5.093636e-05 |
| 11,704 |
Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries |
2021 |
VLDB |
5.093636e-05 |
| 11,749 |
BitGourmet: Deterministic Approximation via Optimized Bit Selection |
2020 |
CIDR |
5.093636e-05 |
| 11,781 |
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation |
2020 |
SIGMOD |
5.093636e-05 |