6 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation
Haoxuan Zhang, Ruochi Li, Yang Zhang +4
The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparency and governance. However, manual creation of Model and Data Cards is not scal…
AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation
Haoxuan Zhang, Ruochi Li, Zhenni Liang +7
Transparent and standardized documentation is essential for building trustworthy generative AI (GAI) systems. However, existing automated methods for generating model and data card…