:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yin, Yao, Xiao, Zhenyu, Li, Musheng, Liu, Yiwen, Nan, Sutong, He, Yiting, Wang, Ruiqi, Zhang, Zhenwei, Liao, Qingmin, Gu, Yuantao
Format:	Preprint
Published:	2026
Subjects:	Databases
Online Access:	https://arxiv.org/abs/2602.08588
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025)

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
by: Li, Musheng, et al.
Published: (2026)

Wheel Dynamic Load Estimation Method Based on Gas Pressure of Hydro-pneumatic Suspension
by: Liao, Qijun, et al.
Published: (2026)

SageFormer: Series-Aware Framework for Long-term Multivariate Time Series Forecasting
by: Zhang, Zhenwei, et al.
Published: (2023)

Benchmarking Time Series Databases with IoTDB-Benchmark for IoT Scenarios
by: Liu, Rui, et al.
Published: (2019)

See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers
by: Zhuang, Jiaxin, et al.
Published: (2024)

ImputeGAP: A Comprehensive Library for Time Series Imputation
by: Nater, Quentin, et al.
Published: (2025)

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
by: Xing, Junjie, et al.
Published: (2025)

DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning
by: Nan, Yafeng, et al.
Published: (2026)

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes
by: Dai, Zhenwei, et al.
Published: (2025)

AegisTS: A Hierarchical Agent System with Reinforcement Learning for Multivariate Time Series Data Cleaning
by: Shi, Yuhan, et al.
Published: (2026)

Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search
by: Wei, Jiuqi, et al.
Published: (2024)

Unstructured Data Analysis using LLMs: A Comprehensive Benchmark
by: Deng, Qiyan, et al.
Published: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)

CTBench: Cryptocurrency Time Series Generation Benchmark
by: Ang, Yihao, et al.
Published: (2025)

Accurate and Scalable Matrix Mechanisms via Divide and Conquer
by: He, Guanlin, et al.
Published: (2026)

TaCo: Data-adaptive and Query-aware Subspace Collision for High-dimensional Approximate Nearest Neighbor Search
by: Wei, Jiuqi, et al.
Published: (2026)

Understanding Graph Databases: A Comprehensive Tutorial and Survey
by: Anuyah, Sydney, et al.
Published: (2024)

Motif Counting in Complex Networks: A Comprehensive Survey
by: Yin, Haozhe, et al.
Published: (2025)

Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents
by: Ma, Ruiying, et al.
Published: (2026)

Multivariate Time Series Cleaning under Speed Constraints
by: Zhang, Aoqian, et al.
Published: (2024)

Efficient Rare Temporal Pattern Mining in Time Series
by: Long, Van Ho, et al.
Published: (2024)

Sync Without Guesswork: Incomplete Time Series Alignment
by: Jia, Ding, et al.
Published: (2025)

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
by: Ma, Kaijing, et al.
Published: (2024)

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
by: Wang, Yuanyi, et al.
Published: (2024)

NMRGym: A Comprehensive Benchmark for Nuclear Magnetic Resonance Based Molecular Structure Elucidation
by: Fang, Zheng, et al.
Published: (2026)

NL2SQL-BUGs: A Benchmark for Detecting Semantic Errors in NL2SQL Translation
by: Liu, Xinyu, et al.
Published: (2025)

ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback
by: Zhai, Bohan, et al.
Published: (2025)

Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework
by: Li, Zhenyu, et al.
Published: (2022)

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

Comprehensive Evaluation for a Large Scale Knowledge Graph Question Answering Service
by: Potdar, Saloni, et al.
Published: (2025)

Combining Time-Series and Graph Data: A Survey of Existing Systems and Approaches
by: Ammar, Mouna, et al.
Published: (2026)

RelBench: A Benchmark for Deep Learning on Relational Databases
by: Robinson, Joshua, et al.
Published: (2024)

Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation
by: Zheng, Yihang, et al.
Published: (2024)

ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning
by: Potamitis, Nearchos, et al.
Published: (2025)

AeroSketch: Near-Optimal Time Matrix Sketch Framework for Persistent, Sliding Window, and Distributed Streams
by: Yin, Hanyan, et al.
Published: (2026)

DTMamba : Dual Twin Mamba for Time Series Forecasting
by: Wu, Zexue, et al.
Published: (2024)

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

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

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)