Cover Image

LEDD: Large Language Model-Empowered Data Discovery in Data Lakes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	An, Qi, Ying, Chihua, Zhu, Yuqing, Xu, Yihao, Zhang, Manwei, Wang, Jianmin
Format:	Preprint
Published:	2025
Subjects:	Databases Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoddLLM: Empowering Large Language Models for Data Analytics
by: Zhang, Jiani, et al.
Published: (2025)

Large Language Models as Data Preprocessors
by: Zhang, Haochen, et al.
Published: (2023)

Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models
by: Zhu, Jun-Peng, et al.
Published: (2024)

Exploiting Formal Concept Analysis for Data Modeling in Data Lakes
by: Bendimerad, Anes, et al.
Published: (2024)

TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes
by: Zhang, Chao, et al.
Published: (2025)

RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes
by: Naeem, Zan Ahmad, et al.
Published: (2023)

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

StreamLink: Large-Language-Model Driven Distributed Data Engineering System
by: Feng, Dawei, et al.
Published: (2025)

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
by: Wu, Yang, et al.
Published: (2024)

Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models
by: Shang, Panos Kalnis. Shuo, et al.
Published: (2025)

LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes
by: Hu, Yihao, et al.
Published: (2025)

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
by: Zhang, Shaolei, et al.
Published: (2025)

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
by: Xu, Xianghong, et al.
Published: (2025)

Are Large Language Models the New Interface for Data Pipelines?
by: Junior, Sylvio Barbon, et al.
Published: (2024)

PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?
by: Xu, Jingzhe, et al.
Published: (2026)

TableGPT2: A Large Multimodal Model with Tabular Data Integration
by: Su, Aofeng, et al.
Published: (2024)

Jellyfish: A Large Language Model for Data Preprocessing
by: Zhang, Haochen, et al.
Published: (2023)

CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems
by: Feng, Yanlin, et al.
Published: (2024)

AgenticData: An Agentic Data Analytics System for Heterogeneous Data
by: Sun, Ji, et al.
Published: (2025)

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
by: Lai, Eugenie, et al.
Published: (2025)

Quality Assessment of Tabular Data using Large Language Models and Code Generation
by: Akella, Ashlesha, et al.
Published: (2025)

Model Lakes
by: Pal, Koyena, et al.
Published: (2024)

Generating Skyline Datasets for Data Science Models
by: Wang, Mengying, et al.
Published: (2025)

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
by: Zhang, Hengrui, et al.
Published: (2025)

Please Don't Kill My Vibe: Empowering Agents with Data Flow Control
by: Summers, Charlie, et al.
Published: (2025)

DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization
by: Wan, Zhuoyue, et al.
Published: (2024)

The Impact of Event Data Partitioning on Privacy-aware Process Discovery
by: Lim, Jungeun, et al.
Published: (2025)

Taxonomy Inference for Tabular Data Using Large Language Models
by: Wu, Zhenyu, et al.
Published: (2025)

A Survey of Data Agents: Emerging Paradigm or Overstated Hype?
by: Zhu, Yizhang, et al.
Published: (2025)

Aixel: A Unified, Adaptive and Extensible System for AI-powered Data Analysis
by: Zhang, Meihui, et al.
Published: (2025)

ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
by: Xu, Xianghong, et al.
Published: (2025)

Leveraging Large Language Models for Enhanced Process Model Comprehension
by: Kourani, Humam, et al.
Published: (2024)

Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation
by: Li, Yiyan, et al.
Published: (2024)

LLM/Agent-as-Data-Analyst: A Survey
by: Tang, Zirui, et al.
Published: (2025)

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications
by: Aminnaseri, Moin, et al.
Published: (2026)

Schema Matching with Large Language Models: an Experimental Study
by: Parciak, Marcel, et al.
Published: (2024)

Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems
by: Dong, Sijie, et al.
Published: (2024)

TabTracer: Monte Carlo Tree Search for Complex Table Reasoning with Large Language Models
by: Luo, Zhizhao, et al.
Published: (2026)

Towards Scalable Schema Mapping using Large Language Models
by: Buss, Christopher, et al.
Published: (2025)

Systematic Evaluation of Knowledge Graph Repair with Large Language Models
by: Lin, Tung-Wei, et al.
Published: (2025)