| 501 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00017267905 |
| 1,392 |
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes |
2023 |
CIDR |
0.00010807936 |
| 1,932 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
9.34643e-05 |
| 1,978 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
9.2730152e-05 |
| 2,231 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7982985e-05 |
| 2,341 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
8.6066183e-05 |
| 2,382 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
8.5458532e-05 |
| 3,250 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
7.4938546e-05 |
| 3,336 |
GenRewrite: Query Rewriting via Large Language Models |
2026 |
SIGMOD |
7.4137763e-05 |
| 3,473 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
7.2728706e-05 |
| 3,695 |
Revisiting Prompt Engineering via Declarative Crowdsourcing |
2024 |
CIDR |
7.092445e-05 |
| 3,973 |
RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes |
2024 |
VLDB |
6.8876964e-05 |
| 4,132 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
6.7885553e-05 |
| 4,218 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
6.7270169e-05 |
| 4,351 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
6.642803e-05 |
| 4,589 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
6.5144711e-05 |
| 4,675 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
6.474947e-05 |
| 4,787 |
Hybrid Querying Over Relational Databases and Large Language Models |
2025 |
CIDR |
6.4143303e-05 |
| 5,332 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.1766186e-05 |
| 5,357 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
6.1619918e-05 |
| 5,385 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
6.1523255e-05 |
| 5,410 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
6.1408676e-05 |
| 6,229 |
The Fast and the Private: Task-based Dataset Search |
2024 |
CIDR |
5.8444773e-05 |
| 7,068 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.6083188e-05 |
| 7,301 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
5.5602724e-05 |
| 7,385 |
Towards Foundation Database Models |
2025 |
CIDR |
5.5385053e-05 |
| 7,526 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.5020723e-05 |
| 7,538 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
5.4995874e-05 |
| 7,583 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
5.4906208e-05 |
| 7,781 |
LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models |
2025 |
SIGMOD |
5.4535721e-05 |
| 8,016 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
5.4065977e-05 |
| 8,230 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
5.372368e-05 |
| 8,322 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
5.3545825e-05 |
| 8,420 |
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing |
2025 |
VLDB |
5.3350162e-05 |
| 8,860 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language |
2024 |
VLDB |
5.263072e-05 |
| 8,888 |
Optimized Batch Prompting for Cost-effective LLMs |
2025 |
VLDB |
5.2559789e-05 |
| 8,997 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.2410834e-05 |
| 9,069 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.2283159e-05 |
| 9,229 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.2056825e-05 |
| 9,565 |
Deduplicated Sampling On-Demand |
2025 |
VLDB |
5.1571823e-05 |
| 9,616 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
5.1510548e-05 |
| 9,722 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
5.1349531e-05 |
| 9,808 |
Lingua Manga: A Generic Large Language Model Centric System for Data Curation |
2023 |
VLDB |
5.1257999e-05 |
| 9,831 |
Automating the Enterprise with Foundation Models |
2024 |
VLDB |
5.1245795e-05 |
| 10,165 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
5.0682654e-05 |
| 10,210 |
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution |
2024 |
VLDB |
5.0596605e-05 |
| 10,402 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,527 |
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,757 |
Mil: Cost-guided Minimum Makespan Scheduling for Applications of Multiple LLMs |
2026 |
VLDB |
4.9793485e-05 |
| 10,791 |
BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents |
2026 |
VLDB |
4.9793485e-05 |