Imagen de Portada

DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kwok, Tung Sum Thomas, Wang, Chi-hua, Cheng, Guang
Formato:	Preprint
Publicado:	2024
Materias:	Databases Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction
por: Kwok, Tung Sum Thomas, et al.
Publicado: (2025)

Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering
por: Kwok, Tung Sum Thomas, et al.
Publicado: (2025)

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
por: Kothapalli, Vignesh, et al.
Publicado: (2026)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
por: Liu, Xinyuan, et al.
Publicado: (2025)

Data Cleaning and Machine Learning: A Systematic Literature Review
por: Côté, Pierre-Olivier, et al.
Publicado: (2023)

From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
por: Wu, Biao, et al.
Publicado: (2023)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
por: Campos, David, et al.
Publicado: (2024)

OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport
por: Pirhadi, Alireza, et al.
Publicado: (2024)

GNN: Graph Neural Network and Large Language Model for Data Discovery
por: Hoang, Thomas
Publicado: (2024)

SEED: Domain-Specific Data Curation With Large Language Models
por: Chen, Zui, et al.
Publicado: (2023)

RFOD: Random Forest-based Outlier Detection for Tabular Data
por: Ang, Yihao, et al.
Publicado: (2025)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
por: Zhang, Buang, et al.
Publicado: (2025)

Online Forgetting Process for Linear Regression Models
por: Li, Yuantong, et al.
Publicado: (2020)

Combining Observational Data and Language for Species Range Estimation
por: Hamilton, Max, et al.
Publicado: (2024)

Adversarial Query Synthesis via Bayesian Optimization
por: Tao, Jeffrey, et al.
Publicado: (2026)

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
por: Zhou, Wei, et al.
Publicado: (2026)

Trading Vector Data in Vector Databases
por: Cheng, Jin, et al.
Publicado: (2025)

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
por: Luttermann, Malte, et al.
Publicado: (2024)

TranSQL+: Serving Large Language Models with SQL on Low-Resource Hardware
por: Sun, Wenbo, et al.
Publicado: (2025)

Systematic Assessment of Tabular Data Synthesis
por: Du, Yuntao, et al.
Publicado: (2024)

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version
por: Campos, David, et al.
Publicado: (2026)

Prior-Aligned Data Cleaning for Tabular Foundation Models
por: Berti-Equille, Laure
Publicado: (2026)

CHORUS: Foundation Models for Unified Data Discovery and Exploration
por: Kayali, Moe, et al.
Publicado: (2023)

ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning
por: Ni, Wei, et al.
Publicado: (2025)

Poodle: Seamlessly Scaling Down Large Language Models with Just-in-Time Model Replacement
por: Strassenburg, Nils, et al.
Publicado: (2025)

Magneto: Combining Small and Large Language Models for Schema Matching
por: Liu, Yurong, et al.
Publicado: (2024)

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey
por: Liang, Yuxuan, et al.
Publicado: (2025)

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
por: Amara-Ouali, Yvenn, et al.
Publicado: (2023)

Optimizing LLM Queries in Relational Data Analytics Workloads
por: Liu, Shu, et al.
Publicado: (2024)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
por: Tang, Yafeng, et al.
Publicado: (2025)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
por: Wang, Qitong, et al.
Publicado: (2026)

QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning
por: Wang, Ning, et al.
Publicado: (2025)

Budget-aware Query Tuning: An AutoML Perspective
por: Wu, Wentao, et al.
Publicado: (2024)

Certain and Approximately Certain Models for Statistical Learning
por: Zhen, Cheng, et al.
Publicado: (2024)

TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations
por: Nobari, Arash Dargahi, et al.
Publicado: (2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
por: Wang, Minjie, et al.
Publicado: (2024)

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
por: Pardo, Fernando de Meer, et al.
Publicado: (2025)

Humans, Machine Learning, and Language Models in Union: A Cognitive Study on Table Unionability
por: Marimuthu, Sreeram, et al.
Publicado: (2025)

The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
por: Zeng, Pai, et al.
Publicado: (2024)

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
por: Phan, Hong-Phuc, et al.
Publicado: (2026)