| 1,088 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00014158762 |
| 1,505 |
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes |
2023 |
CIDR |
0.00011601232 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 3,003 |
Chorus: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
7.7358219e-05 |
| 3,105 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
7.5567226e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 3,513 |
spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines |
2024 |
VLDB |
7.0203909e-05 |
| 3,639 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
6.8886648e-05 |
| 3,803 |
Revisiting Prompt Engineering via Declarative Crowdsourcing |
2024 |
CIDR |
6.7498941e-05 |
| 3,982 |
How Large Language Models Will Disrupt Data Management |
2023 |
VLDB |
6.5595332e-05 |
| 4,211 |
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration |
2023 |
SIGMOD |
6.3495931e-05 |
| 4,529 |
Hybrid Querying Over Relational Databases and Large Language Models |
2025 |
CIDR |
6.1057096e-05 |
| 5,001 |
GenRewrite: Query Rewriting via Large Language Models |
2026 |
SIGMOD |
5.7634197e-05 |
| 5,098 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
5.6943033e-05 |
| 5,470 |
RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes |
2024 |
VLDB |
5.4894925e-05 |
| 5,506 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
5.4711611e-05 |
| 5,929 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
5.2635297e-05 |
| 6,071 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
5.2231739e-05 |
| 6,081 |
The Fast and the Private: Task-based Dataset Search |
2024 |
CIDR |
5.2179192e-05 |
| 6,552 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.0109216e-05 |
| 7,027 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
4.8524216e-05 |
| 7,045 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
4.8474104e-05 |
| 7,143 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
4.8143774e-05 |
| 7,369 |
ELEET: Efficient Learned Query Execution over Text and Tables |
2024 |
VLDB |
4.7452331e-05 |
| 7,887 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
4.6218382e-05 |
| 8,054 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5909042e-05 |
| 8,207 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
4.5537604e-05 |
| 8,253 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
4.5444167e-05 |
| 8,679 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language |
2024 |
VLDB |
4.4644049e-05 |
| 8,732 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
4.4520434e-05 |
| 8,847 |
Towards Foundation Database Models |
2025 |
CIDR |
4.4329366e-05 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,395 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
4.3399748e-05 |
| 9,478 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
4.3300131e-05 |
| 9,481 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
4.3300131e-05 |
| 9,493 |
Lingua Manga : A Generic Large Language Model Centric System for Data Curation |
2023 |
VLDB |
4.3300131e-05 |
| 9,516 |
Automating the Enterprise with Foundation Models |
2024 |
VLDB |
4.3294347e-05 |
| 10,022 |
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,064 |
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,453 |
LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,475 |
A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,521 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,603 |
Optimized Batch Prompting for Cost-effective LLMs |
2025 |
VLDB |
4.1905499e-05 |
| 10,606 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
4.1905499e-05 |
| 10,618 |
Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation |
2025 |
VLDB |
4.1905499e-05 |
| 10,625 |
Deduplicated Sampling On-Demand |
2025 |
VLDB |
4.1905499e-05 |
| 10,636 |
CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines |
2025 |
VLDB |
4.1905499e-05 |
| 10,683 |
On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing |
2025 |
VLDB |
4.1905499e-05 |
| 10,759 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
4.1905499e-05 |
| 10,839 |
Large Language Models for Spatial Analysis Queries |
2025 |
VLDB |
4.1905499e-05 |