| 494 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00017350554 |
| 1,358 |
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes |
2023 |
CIDR |
0.00010902306 |
| 1,669 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
9.9157758e-05 |
| 1,838 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
9.5195856e-05 |
| 2,227 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7924681e-05 |
| 2,256 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
8.7418985e-05 |
| 2,370 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
8.5469172e-05 |
| 3,158 |
GenRewrite: Query Rewriting via Large Language Models |
2026 |
SIGMOD |
7.5676704e-05 |
| 3,166 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
7.5597853e-05 |
| 3,223 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
7.5043163e-05 |
| 3,659 |
Revisiting Prompt Engineering via Declarative Crowdsourcing |
2024 |
CIDR |
7.1094444e-05 |
| 3,909 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
6.9127576e-05 |
| 3,978 |
RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes |
2024 |
VLDB |
6.8704139e-05 |
| 4,047 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
6.8177935e-05 |
| 4,335 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
6.6432811e-05 |
| 4,360 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
6.6274323e-05 |
| 4,690 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
6.4506346e-05 |
| 4,812 |
Hybrid Querying Over Relational Databases and Large Language Models |
2025 |
CIDR |
6.3907046e-05 |
| 5,234 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
6.204849e-05 |
| 5,301 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.1761723e-05 |
| 5,377 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
6.1396287e-05 |
| 5,383 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
6.1379374e-05 |
| 6,242 |
The Fast and the Private: Task-based Dataset Search |
2024 |
CIDR |
5.8223943e-05 |
| 7,076 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.5909675e-05 |
| 7,322 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
5.5392633e-05 |
| 7,388 |
Towards Foundation Database Models |
2025 |
CIDR |
5.5211011e-05 |
| 7,548 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.481283e-05 |
| 7,558 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
5.4788791e-05 |
| 7,606 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
5.4698748e-05 |
| 7,804 |
LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models |
2025 |
SIGMOD |
5.4329661e-05 |
| 8,037 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
5.3863017e-05 |
| 8,255 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
5.3520689e-05 |
| 8,327 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
5.3381899e-05 |
| 8,445 |
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing |
2025 |
VLDB |
5.3148581e-05 |
| 8,543 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
5.3039559e-05 |
| 8,887 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language |
2024 |
VLDB |
5.2431858e-05 |
| 8,917 |
Optimized Batch Prompting for Cost-effective LLMs |
2025 |
VLDB |
5.2361195e-05 |
| 9,098 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.208561e-05 |
| 9,201 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
5.1950133e-05 |
| 9,263 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.1860131e-05 |
| 9,598 |
Deduplicated Sampling On-Demand |
2025 |
VLDB |
5.1376962e-05 |
| 9,634 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
5.1354312e-05 |
| 9,758 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
5.115551e-05 |
| 9,842 |
CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines |
2025 |
VLDB |
5.1064323e-05 |
| 9,849 |
Lingua Manga: A Generic Large Language Model Centric System for Data Curation |
2023 |
VLDB |
5.1064323e-05 |
| 9,872 |
Automating the Enterprise with Foundation Models |
2024 |
VLDB |
5.1052165e-05 |
| 10,232 |
Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees |
2026 |
VLDB |
5.0432098e-05 |
| 10,242 |
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution |
2024 |
VLDB |
5.0418764e-05 |
| 10,397 |
FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction |
2027 |
SIGMOD |
4.9605343e-05 |
| 10,480 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
4.9605343e-05 |