Cover Image

CHORUS: Foundation Models for Unified Data Discovery and Exploration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kayali, Moe, Lykov, Anton, Fountalis, Ilias, Vasiloglou, Nikolaos, Olteanu, Dan, Suciu, Dan
Format:	Preprint
Published:	2023
Subjects:	Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QirK: Question Answering via Intermediate Representation on Knowledge Graphs
by: Scheerer, Jan Luca, et al.
Published: (2024)

Towards Agentic Schema Refinement
by: Rissaki, Agapi, et al.
Published: (2024)

AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
by: Hu, Yaojie, et al.
Published: (2024)

Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation
by: Deeds, Kyle, et al.
Published: (2024)

Database Views as Explanations for Relational Deep Learning
by: Rissaki, Agapi, et al.
Published: (2025)

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration
by: Kayali, Moe, et al.
Published: (2024)

Insert-Only versus Insert-Delete in Dynamic Query Evaluation
by: Khamis, Mahmoud Abo, et al.
Published: (2023)

Output-Sensitive Evaluation of Regular Path Queries
by: Khamis, Mahmoud Abo, et al.
Published: (2024)

Join Size Bounds using Lp-Norms on Degree Sequences
by: Khamis, Mahmoud Abo, et al.
Published: (2023)

Pessimistic Cardinality Estimation
by: Khamis, Mahmoud Abo, et al.
Published: (2024)

Making LLMs Work for Enterprise Data Tasks
by: Demiralp, Çağatay, et al.
Published: (2024)

LpBound: Pessimistic Cardinality Estimation using $\ell_p$-Norms of Degree Sequences
by: Zhang, Haozhe, et al.
Published: (2025)

Acyclic Conjunctive Regular Path Queries are no Harder than Corresponding Conjunctive Queries
by: Khamis, Mahmoud Abo, et al.
Published: (2025)

Information Theory Strikes Back: New Development in the Theory of Cardinality Estimation
by: Khamis, Mahmoud Abo, et al.
Published: (2025)

Mixtera: A Data Plane for Foundation Model Training
by: Böther, Maximilian, et al.
Published: (2025)

Recent Increments in Incremental View Maintenance
by: Olteanu, Dan
Published: (2024)

Applications of Information Inequalities to Database Theory Problems
by: Suciu, Dan
Published: (2023)

Using Process Calculus for Optimizing Data and Computation Sharing in Complex Stateful Parallel Computations
by: Tian, Zilu, et al.
Published: (2025)

Output-Sensitive Evaluation of Acyclic Conjunctive Regular Path Queries
by: Khamis, Mahmoud Abo, et al.
Published: (2025)

HoneyComb: A Parallel Worst-Case Optimal Join on Multicores
by: Wu, Jiacheng, et al.
Published: (2025)

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

Thucy: An LLM-based Multi-Agent System for Claim Verification across Relational Databases
by: Theologitis, Michael, et al.
Published: (2025)

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

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

CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
by: Xue, Rui, et al.
Published: (2025)

Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
by: Ranjan, Rishabh, et al.
Published: (2025)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

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

Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding
by: Klein, Tassilo, et al.
Published: (2025)

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
by: Li, Ning, et al.
Published: (2025)

F-IVM: Analytics over Relational Databases under Updates
by: Kara, Ahmet, et al.
Published: (2023)

REDELEX: A Framework for Relational Deep Learning Exploration
by: Peleška, Jakub, et al.
Published: (2025)

Conjunctive Queries with Free Access Patterns under Updates
by: Kara, Ahmet, et al.
Published: (2022)

Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities
by: Erfanian, Mahdi, et al.
Published: (2024)

Efficient Discovery of Significant Patterns with Few-Shot Resampling
by: Pellegrina, Leonardo, et al.
Published: (2024)

TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
by: Khatiwada, Aamod, et al.
Published: (2024)

Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
by: Zheng, Zhiyuan, et al.
Published: (2025)

No Need to Train Your RDB Foundation Model
by: Xu, Linjie, et al.
Published: (2026)

Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
by: Luna, J. M., et al.
Published: (2024)

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