| 496 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00017318538 |
| 1,387 |
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes |
2023 |
CIDR |
0.00010829741 |
| 1,929 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
9.3551286e-05 |
| 1,977 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
9.2760522e-05 |
| 2,227 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.8007923e-05 |
| 2,273 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
8.7093949e-05 |
| 2,378 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
8.5495442e-05 |
| 3,236 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
7.4996147e-05 |
| 3,321 |
GenRewrite: Query Rewriting via Large Language Models |
2026 |
SIGMOD |
7.427185e-05 |
| 3,473 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
7.2697311e-05 |
| 3,668 |
Revisiting Prompt Engineering via Declarative Crowdsourcing |
2024 |
CIDR |
7.1144218e-05 |
| 3,900 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
6.9320915e-05 |
| 3,967 |
RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes |
2024 |
VLDB |
6.887577e-05 |
| 4,213 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
6.7281505e-05 |
| 4,352 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
6.6396584e-05 |
| 4,591 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
6.5113872e-05 |
| 4,678 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
6.4720352e-05 |
| 4,789 |
Hybrid Querying Over Relational Databases and Large Language Models |
2025 |
CIDR |
6.4117376e-05 |
| 5,208 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
6.2254341e-05 |
| 5,322 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.1809951e-05 |
| 5,362 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
6.1592249e-05 |
| 5,393 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
6.1494131e-05 |
| 6,232 |
The Fast and the Private: Task-based Dataset Search |
2024 |
CIDR |
5.8417106e-05 |
| 7,070 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.6056639e-05 |
| 7,304 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
5.5576403e-05 |
| 7,386 |
Towards Foundation Database Models |
2025 |
CIDR |
5.5360368e-05 |
| 7,531 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.4994676e-05 |
| 7,544 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
5.496984e-05 |
| 7,589 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
5.4880216e-05 |
| 7,788 |
LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models |
2025 |
SIGMOD |
5.4509905e-05 |
| 8,021 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
5.4041713e-05 |
| 8,236 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
5.3698248e-05 |
| 8,329 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
5.3520477e-05 |
| 8,429 |
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing |
2025 |
VLDB |
5.3324907e-05 |
| 8,526 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.3215522e-05 |
| 8,869 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language |
2024 |
VLDB |
5.2605805e-05 |
| 8,897 |
Optimized Batch Prompting for Cost-effective LLMs |
2025 |
VLDB |
5.2534908e-05 |
| 9,078 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.2258409e-05 |
| 9,239 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.2032182e-05 |
| 9,573 |
Deduplicated Sampling On-Demand |
2025 |
VLDB |
5.154741e-05 |
| 9,623 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
5.1486163e-05 |
| 9,727 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
5.1325223e-05 |
| 9,815 |
Lingua Manga: A Generic Large Language Model Centric System for Data Curation |
2023 |
VLDB |
5.1233734e-05 |
| 9,838 |
Automating the Enterprise with Foundation Models |
2024 |
VLDB |
5.1221535e-05 |
| 10,169 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
5.0658661e-05 |
| 10,199 |
Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees |
2026 |
VLDB |
5.0599411e-05 |
| 10,209 |
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution |
2024 |
VLDB |
5.0586032e-05 |
| 10,414 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,538 |
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,767 |
Mil: Cost-guided Minimum Makespan Scheduling for Applications of Multiple LLMs |
2026 |
VLDB |
4.9769913e-05 |