Cover Image

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chang, Jing, Liu, Chang, Huang, Jinbin, Mao, Rui, Qin, Jianbin
Format:	Preprint
Published:	2025
Subjects:	Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation
by: Chang, Jing, et al.
Published: (2025)

ShapleyPipe: Hierarchical Shapley Search for Data Preparation Pipeline Construction
by: Chang, Jing, et al.
Published: (2025)

SemPipes -- Optimizable Semantic Data Operators for Tabular Machine Learning Pipelines
by: Ovcharenko, Olga, et al.
Published: (2026)

Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines
by: Chang, Chaokun, et al.
Published: (2024)

Predictive Query-based Pipeline for Graph Data
by: Neto, Plácido A Souza
Published: (2024)

Efficient Query Rewrite Rule Discovery via Standardized Enumeration and Learning-to-Rank(extend)
by: Zhang, Yuan, et al.
Published: (2026)

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact
by: Menon, Avanija, et al.
Published: (2025)

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

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

Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach
by: Lu, Kejing, et al.
Published: (2026)

K Nearest Neighbor-Guided Trajectory Similarity Learning
by: Chang, Yanchuan, et al.
Published: (2025)

Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)

Skeleton-Guided Learning for Shortest Path Search
by: Liu, Tiantian, et al.
Published: (2025)

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

Urban Region Representation Learning with Attentive Fusion
by: Sun, Fengze, et al.
Published: (2023)

VDTuner: Automated Performance Tuning for Vector Data Management Systems
by: Yang, Tiannuo, et al.
Published: (2024)

KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025)

Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
by: Papicchio, Simone, et al.
Published: (2025)

MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
by: Ge, Congcong, et al.
Published: (2025)

L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3
by: Yang, Xinyue, et al.
Published: (2025)

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
by: Afandi, Waleed, et al.
Published: (2026)

A Survey of Pipeline Tools for Data Engineering
by: Mbata, Anthony, et al.
Published: (2024)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
by: Shaowang, Ted, et al.
Published: (2025)

Not All Neighbors Matter: Understanding the Impact of Graph Sparsification on GNN Pipelines
by: Song, Yuhang, et al.
Published: (2026)

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022)

Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization
by: Chang, Baoming, et al.
Published: (2025)

Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era
by: Chen, Wei, et al.
Published: (2024)

RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning
by: Chen, Minxiao, et al.
Published: (2025)

Modyn: Data-Centric Machine Learning Pipeline Orchestration
by: Böther, Maximilian, et al.
Published: (2023)

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

Morphing-based Compression for Data-centric ML Pipelines
by: Baunsgaard, Sebastian, et al.
Published: (2025)

Data Collection and Labeling Techniques for Machine Learning
by: Huang, Qianyu, et al.
Published: (2024)

FeatNavigator: Automatic Feature Augmentation on Tabular Data
by: Liang, Jiaming, 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)

DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning
by: Dou, Hui, et al.
Published: (2025)

Data-Agnostic Cardinality Learning from Imperfect Workloads
by: Wu, Peizhi, et al.
Published: (2025)

ActiveDP: Bridging Active Learning and Data Programming
by: Guan, Naiqing, et al.
Published: (2024)

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

TODS: An Automated Time Series Outlier Detection System
by: Lai, Kwei-Herng, et al.
Published: (2020)

Trading Vector Data in Vector Databases
by: Cheng, Jin, et al.
Published: (2025)