| 713 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00014672521 |
| 1,550 |
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes |
2023 |
CIDR |
0.00010385904 |
| 2,099 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
9.1682353e-05 |
| 2,242 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
8.8823802e-05 |
| 2,298 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7886538e-05 |
| 2,956 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
7.9203461e-05 |
| 3,073 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.785842e-05 |
| 3,436 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
7.4157897e-05 |
| 3,536 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
7.3297343e-05 |
| 4,050 |
Revisiting Prompt Engineering via Declarative Crowdsourcing |
2024 |
CIDR |
6.9368666e-05 |
| 4,363 |
GenRewrite: Query Rewriting via Large Language Models |
2026 |
SIGMOD |
6.7423909e-05 |
| 4,515 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
6.6492389e-05 |
| 4,621 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
6.6024412e-05 |
| 4,944 |
Hybrid Querying Over Relational Databases and Large Language Models |
2025 |
CIDR |
6.432467e-05 |
| 5,293 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
6.279939e-05 |
| 5,354 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
6.2515841e-05 |
| 5,466 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
6.2075052e-05 |
| 5,682 |
RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes |
2024 |
VLDB |
6.123486e-05 |
| 5,744 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
6.1019672e-05 |
| 5,816 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.0776454e-05 |
| 6,094 |
The Fast and the Private: Task-based Dataset Search |
2024 |
CIDR |
5.9786215e-05 |
| 6,118 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
5.9698795e-05 |
| 6,928 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.7370426e-05 |
| 7,075 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
5.7099047e-05 |
| 7,228 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
5.66667e-05 |
| 7,395 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
5.6257796e-05 |
| 7,865 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
5.5282752e-05 |
| 8,197 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
5.4691464e-05 |
| 8,692 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language |
2024 |
VLDB |
5.3838716e-05 |
| 8,829 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.3613784e-05 |
| 8,854 |
Towards Foundation Database Models |
2025 |
CIDR |
5.357608e-05 |
| 8,906 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.3483178e-05 |
| 9,155 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
5.3122817e-05 |
| 9,380 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.2755515e-05 |
| 9,381 |
Deduplicated Sampling On-Demand |
2025 |
VLDB |
5.2755515e-05 |
| 9,437 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
5.2687567e-05 |
| 9,539 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
5.2528121e-05 |
| 9,550 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
5.2528121e-05 |
| 9,631 |
Lingua Manga: A Generic Large Language Model Centric System for Data Curation |
2023 |
VLDB |
5.2434488e-05 |
| 9,654 |
Automating the Enterprise with Foundation Models |
2024 |
VLDB |
5.2422003e-05 |
| 9,972 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
5.1845938e-05 |
| 10,186 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
5.093636e-05 |
| 10,318 |
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration |
2026 |
SIGMOD |
5.093636e-05 |
| 10,724 |
LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models |
2025 |
SIGMOD |
5.093636e-05 |
| 10,746 |
A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces |
2025 |
SIGMOD |
5.093636e-05 |
| 10,785 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.093636e-05 |
| 10,856 |
Optimized Batch Prompting for Cost-effective LLMs |
2025 |
VLDB |
5.093636e-05 |
| 10,867 |
Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation |
2025 |
VLDB |
5.093636e-05 |
| 10,882 |
CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines |
2025 |
VLDB |
5.093636e-05 |
| 10,924 |
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing |
2025 |
VLDB |
5.093636e-05 |