Cover Image

DW-Bench: Benchmarking LLMs on Data Warehouse Graph Topology Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmed, Ahmed G. A. H, Sakar, C. Okan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

GraphAide: Advanced Graph-Assisted Query and Reasoning System
by: Purohit, Sumit, et al.
Published: (2024)

ELT-Bench-Verified: Benchmark Quality Issues Underestimate AI Agent Capabilities
by: Zanoli, Christopher, et al.
Published: (2026)

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
by: Jin, Tengjun, et al.
Published: (2025)

ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
by: Watanabe, Yusuke, et al.
Published: (2026)

Reframing Spatial Reasoning Evaluation in Language Models: A Real-World Simulation Benchmark for Qualitative Reasoning
by: Li, Fangjun, et al.
Published: (2024)

AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries?
by: Tian, Yuchen, et al.
Published: (2025)

Managing FAIR Knowledge Graphs as Polyglot Data End Points: A Benchmark based on the rdf2pg Framework and Plant Biology Data
by: Brandizi, Marco, et al.
Published: (2025)

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

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

OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
by: Ieng, Frédéric, et al.
Published: (2026)

Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems
by: Colombo, Andrea
Published: (2024)

Adaptive Data Quality Scoring Operations Framework using Drift-Aware Mechanism for Industrial Applications
by: Bayram, Firas, et al.
Published: (2024)

Knowledge Graph Construction for Stock Markets with LLM-Based Explainable Reasoning
by: Lee, Cheonsol, et al.
Published: (2025)

A System and Benchmark for LLM-based Q&A on Heterogeneous Data
by: Fokoue, Achille, et al.
Published: (2024)

Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks
by: Chen, Jianhao, et al.
Published: (2023)

Grid-Based Projection of Spatial Data into Knowledge Graphs
by: Anjomshoaa, Amin, et al.
Published: (2024)

LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs
by: Meyer, Lars-Peter, et al.
Published: (2025)

Comprehending Semantic Types in JSON Data with Graph Neural Networks
by: Wei, Shuang, et al.
Published: (2023)

TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning
by: Jiang, Zihao, et al.
Published: (2026)

HCT-QA: A Benchmark for Question Answering on Human-Centric Tables
by: Ahmad, Mohammad S., et al.
Published: (2025)

CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion
by: Zeng, Xianzhi, et al.
Published: (2024)

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

A Multi-Agent System for Semantic Mapping of Relational Data to Knowledge Graphs
by: Trajanoska, Milena, et al.
Published: (2025)

AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
by: Kleczek, Darek, et al.
Published: (2026)

EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
by: Panja, Madhurima, et al.
Published: (2026)

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
by: Feng, Yanlin, et al.
Published: (2024)

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

The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
by: Toth, Rebeka, et al.
Published: (2025)

NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)

From Data Quality for AI to AI for Data Quality: A Systematic Review of Tools for AI-Augmented Data Quality Management in Data Warehouses
by: Tamm, Heidi Carolina, et al.
Published: (2024)

Using off-the-shelf LLMs to query enterprise data by progressively revealing ontologies
by: Civili, C., et al.
Published: (2024)

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

Global Benchmark Database
by: Iser, Ashlin, et al.
Published: (2024)

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

TopoBench: Benchmarking LLMs on Hard Topological Reasoning
by: Maniparambil, Mayug, et al.
Published: (2026)

Trustworthy and Efficient LLMs Meet Databases
by: Kim, Kyoungmin, et al.
Published: (2024)

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
by: Zhu, Yuqi, et al.
Published: (2023)

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks
by: Li, Xunkai, et al.
Published: (2024)

Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphs
by: Kizito, Muyukani, et al.
Published: (2026)