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20242026
most citedA Survey on Data Quality Dimensions and Tools for Machine Learning

5 citations · 5 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.AI2026

Dissecting Neuro-Symbolic Quality Assurance for Synthetic Oncology Data Generation

Laxmigayathri Challa, Yuhan Zhou, Ana Cleveland +1

Synthetic clinical data generation with large language models addresses the scarcity that limits cancer staging research, but oncology hallucinations are categorically harmful: one…

cs.CV2026

Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving

Yuhan Zhou, Mehri Sattari, Haihua Chen +1

Next-generation autonomous vehicles (AVs) rely on large volumes of multisource and multimodal () data to support real-time decision-making. In practice, data quality (DQ) vari…