| 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 |
| 1,631 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
0.00011071662 |
| 2,154 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2018 |
VLDB |
9.4176683e-05 |
| 2,222 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
9.2598438e-05 |
| 2,652 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.3662031e-05 |
| 3,314 |
Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer |
2016 |
VLDB |
7.2318547e-05 |
| 3,476 |
Solving the Join Ordering Problem via Mixed Integer Linear Programming |
2017 |
SIGMOD |
7.0560383e-05 |
| 4,730 |
UDO: Universal Database Optimization using Reinforcement Learning |
2021 |
VLDB |
5.9604983e-05 |
| 4,819 |
Scrutinizer: Fact Checking Statistical Claims |
2020 |
VLDB |
5.8951e-05 |
| 4,876 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
5.8544467e-05 |
| 4,916 |
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management |
2022 |
VLDB |
5.827729e-05 |
| 4,974 |
Verifying Text Summaries of Relational Data Sets |
2019 |
SIGMOD |
5.7877104e-05 |
| 5,073 |
An Incremental Anytime Algorithm for Multi-Objective Query Optimization |
2015 |
SIGMOD |
5.7118738e-05 |
| 5,206 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
5.625641e-05 |
| 5,420 |
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond |
2020 |
VLDB |
5.5154502e-05 |
| 5,506 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
5.4711611e-05 |
| 5,696 |
Exact Cardinality Query Optimization with Bounded Execution Cost |
2019 |
SIGMOD |
5.367449e-05 |
| 6,011 |
Data Vocalization with CiceroDB |
2019 |
CIDR |
5.2365238e-05 |
| 6,712 |
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 |
2023 |
VLDB |
4.9474017e-05 |
| 6,891 |
Towards NLP-Enhanced Data Profiling Tools |
2022 |
CIDR |
4.8891398e-05 |
| 6,912 |
Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero |
2020 |
VLDB |
4.8878659e-05 |
| 7,012 |
Mining Subjective Properties on the Web |
2015 |
SIGMOD |
4.8580825e-05 |
| 7,335 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
4.7533835e-05 |
| 7,486 |
Quantum-Inspired Digital Annealing for Join Ordering |
2024 |
VLDB |
4.7135369e-05 |
| 7,730 |
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets |
2019 |
VLDB |
4.6613872e-05 |
| 8,027 |
ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning |
2023 |
VLDB |
4.5986382e-05 |
| 8,054 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5909042e-05 |
| 8,180 |
Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning |
2021 |
SIGMOD |
4.5627116e-05 |
| 8,452 |
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual |
2022 |
SIGMOD |
4.5023516e-05 |
| 8,612 |
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual" |
2021 |
VLDB |
4.4807455e-05 |
| 8,720 |
A Fast Randomized Algorithm for Multi-Objective Query Optimization |
2016 |
SIGMOD |
4.4563359e-05 |
| 8,772 |
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms |
2023 |
VLDB |
4.451034e-05 |
| 9,005 |
Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
2025 |
SIGMOD |
4.407457e-05 |
| 9,282 |
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger |
2024 |
VLDB |
4.3598981e-05 |
| 9,312 |
Parallelizing Query Optimization on Shared-Nothing Architectures |
2016 |
VLDB |
4.353536e-05 |
| 9,692 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
4.2986161e-05 |
| 10,023 |
Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,212 |
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,277 |
SemBench: A Benchmark for Semantic Query Processing Engines |
2026 |
VLDB |
4.1905499e-05 |
| 10,295 |
Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation |
2026 |
VLDB |
4.1905499e-05 |
| 10,446 |
Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,466 |
SwellDB: Dynamic Query-Driven Table Generation with Large Language Models |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,753 |
CEDAR: A System for Cost-Efficient Data-Driven Claim Verification |
2025 |
VLDB |
4.1905499e-05 |
| 11,300 |
Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning |
2023 |
VLDB |
4.1905499e-05 |
| 11,386 |
BABOONS: Black-Box Optimization of Data Summaries in Natural Language |
2022 |
VLDB |
4.1905499e-05 |
| 11,463 |
Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries |
2021 |
SIGMOD |
4.1905499e-05 |
| 11,510 |
Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries |
2021 |
VLDB |
4.1905499e-05 |
| 11,556 |
BitGourmet: Deterministic Approximation via Optimized Bit Selection |
2020 |
CIDR |
4.1905499e-05 |
| 11,589 |
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation |
2020 |
SIGMOD |
4.1905499e-05 |