Author

Omar Alonso

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#artificial intelligence Preprint Sep 2026

DI-Bench: Systematically Generating In-Domain Data Intelligence Benchmarks for Enterprise Agents

DI-Bench is presented, a pipeline for generating realistic benchmarks for data intelligence (DI), the practice of extracting insights from large volumes of enterprise data, and four models are evaluated, revealing a substantial finding: models achieve only 32% accuracy when doing computational tasks where retrieved bus...

Jiang-Yun Zhang, K. Surrao, Torpong Nitayanont et al. · 0 citations

Review

Knowledge Graphs Data Quality at Scale: Challenges, Solutions, and Applications

This tutorial offers a high-level view of KG data quality at scale, organized along KG lifecycle stages, covering efficient quality estimation, as well as the role of Large Language Models as validators and auxiliary signals.

Stefano Marchesin, Omar Alonso · 0 citations