| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 2,348 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9903659e-05 |
| 2,513 |
Annotating Columns with Pre-trained Language Models |
2022 |
SIGMOD |
8.6155767e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 2,842 |
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning |
2023 |
VLDB |
8.0366354e-05 |
| 3,001 |
SANTOS: Relationship-based Semantic Table Union Search |
2023 |
SIGMOD |
7.739698e-05 |
| 3,003 |
Chorus: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
7.7358219e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 3,520 |
GitTables: A Large-Scale Corpus of Relational Tables |
2023 |
SIGMOD |
7.0136102e-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 |
| 4,658 |
PreQR: Pre-training Representation for SQL Understanding |
2022 |
SIGMOD |
6.0084453e-05 |
| 4,860 |
Integrating Data Lake Tables |
2023 |
VLDB |
5.867964e-05 |
| 4,970 |
Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation |
2022 |
SIGMOD |
5.7900867e-05 |
| 5,098 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
5.6943033e-05 |
| 5,279 |
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples |
2023 |
VLDB |
5.5851818e-05 |
| 5,429 |
Logical and Physical Optimizations for SQL Query Execution over Large Language Models |
2025 |
SIGMOD |
5.511638e-05 |
| 5,457 |
Transformers for Tabular Data Representation: A Tutorial on Models and Applications |
2022 |
VLDB |
5.4960654e-05 |
| 6,071 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
5.2231739e-05 |
| 6,279 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
5.1241232e-05 |
| 6,774 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
4.9253635e-05 |
| 6,798 |
DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models |
2024 |
SIGMOD |
4.9186164e-05 |
| 7,642 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes |
2023 |
VLDB |
4.6856127e-05 |
| 8,194 |
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses |
2023 |
CIDR |
4.5574831e-05 |
| 8,576 |
RECA: Related Tables Enhanced Column Semantic Type Annotation Framework |
2023 |
VLDB |
4.4879383e-05 |
| 8,709 |
ANN Softmax: Acceleration of Extreme Classification Training |
2022 |
VLDB |
4.4584416e-05 |
| 8,732 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
4.4520434e-05 |
| 8,739 |
CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning |
2024 |
SIGMOD |
4.4520434e-05 |
| 8,847 |
Towards Foundation Database Models |
2025 |
CIDR |
4.4329366e-05 |
| 8,852 |
Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation |
2023 |
SIGMOD |
4.4313992e-05 |
| 8,915 |
Making Table Understanding Work in Practice |
2022 |
CIDR |
4.4229886e-05 |
| 9,073 |
VerifAI: Verified Generative AI |
2024 |
CIDR |
4.396857e-05 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,405 |
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations |
2025 |
VLDB |
4.3399748e-05 |
| 9,481 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
4.3300131e-05 |
| 9,776 |
Data Augmentation for ML-driven Data Preparation and Integration |
2021 |
VLDB |
4.2815042e-05 |
| 9,960 |
QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes |
2025 |
VLDB |
4.2254157e-05 |
| 10,059 |
Burr: A Benchmark for Ontology Learning from Relational Databases |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,109 |
Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,142 |
AutoDDG: Automated Dataset Description Generation using Large Language Models |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,197 |
Qualitative Join Discovery in Data Lakes using Examples |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,268 |
OpenSQL: Data-Efficient Text-to-SQL for Open-Source LLMs via Synthesized Intermediate Supervision |
2026 |
VLDB |
4.1905499e-05 |
| 10,507 |
PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,519 |
Table Overlap Estimation through Graph Embeddings |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,597 |
Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index |
2025 |
VLDB |
4.1905499e-05 |
| 10,759 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
4.1905499e-05 |
| 10,760 |
OmniMatch: Joinability Discovery in Data Products |
2025 |
VLDB |
4.1905499e-05 |
| 10,848 |
Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both? |
2025 |
VLDB |
4.1905499e-05 |
| 10,954 |
Determining the Largest Overlap between Tables |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,976 |
Unstructured Data Fusion for Schema and Data Extraction |
2024 |
SIGMOD |
4.1905499e-05 |