:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hengrui, Hui, Yulong, Liu, Yihao, Zhang, Huanchen
Format:	Preprint
Published:	2025
Subjects:	Databases Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2509.12610
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
by: Sun, Hui, et al.
Published: (2025)

CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)

Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies
by: Tang, Zirui, et al.
Published: (2026)

IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
by: Gui, Honghao, et al.
Published: (2024)

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

Towards Controllable Time Series Generation
by: Bao, Yifan, et al.
Published: (2024)

Robust Traffic Forecasting against Spatial Shift over Years
by: Wang, Hongjun, et al.
Published: (2024)

R-Bot: An LLM-based Query Rewrite System
by: Sun, Zhaoyan, et al.
Published: (2024)

Scaling Text2SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers
by: Hoang, Thanh Dat, et al.
Published: (2025)

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

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

Category-Aware Semantic Caching for Heterogeneous LLM Workloads
by: Wang, Chen, et al.
Published: (2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS
by: Shi, Zeru, et al.
Published: (2024)

WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
by: Wang, Yibo, et al.
Published: (2026)

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

SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees
by: Jo, Saehan, et al.
Published: (2024)

LLM+KG@VLDB'24 Workshop Summary
by: Khan, Arijit, et al.
Published: (2024)

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
by: He, Yunjie, et al.
Published: (2023)

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023)

LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)

TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous
by: Zhang, Ruilin, et al.
Published: (2026)

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

Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
by: Wu, Fangzhou, et al.
Published: (2025)

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
by: Luo, Yujie, et al.
Published: (2024)

When Large Language Models Meet Vector Databases: A Survey
by: Jing, Zhi, et al.
Published: (2024)

Robo-DM: Data Management For Large Robot Datasets
by: Chen, Kaiyuan, et al.
Published: (2025)

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

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

Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
by: Pons, Gerard, et al.
Published: (2025)

Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
by: Zhang, Jiasheng, et al.
Published: (2024)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
by: Li, Haoyang, et al.
Published: (2025)

A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)

Relational In-Context Learning via Synthetic Pre-training with Structural Prior
by: Wang, Yanbo, et al.
Published: (2026)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
by: Ding, Dujian, et al.
Published: (2025)

DBAutoDoc: Automated Discovery and Documentation of Undocumented Database Schemas via Statistical Analysis and Iterative LLM Refinement
by: Nagarajan, Amith, et al.
Published: (2026)

RDBLearn: Simple In-Context Prediction Over Relational Databases
by: Zhang, Yanlin, et al.
Published: (2026)

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

DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation
by: Zhang, Kaixin, et al.
Published: (2025)

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
by: Lai, Zhichen, et al.
Published: (2024)

DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree
by: Zhuang, Zhutao, et al.
Published: (2024)