Author

Yundi Zhang

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#artificial intelligence Preprint Sep 2026

What Makes a Good Medical Image Tokenizer? Rethinking Reconstruction and Generation in Medical Image Tokenization

Latent diffusion models now dominate medical image generation, and every such pipeline rests on a \emph{tokenizer} that compresses images into the latent codes for image generation to operate on. Thereby, the tokenizer choice bounds every downstream task from reconstruction fidelity and generation quality to the repres...

Niklas Bubeck, Yundi Zhang, Vasiliki Sideri-Lampretsa et al. · 0 citations

Open access Jul 2026

Addressing benchmarking gaps in large language models for health and medicine with dynamic red-teaming

A Dynamic, Automatic and Systematic red-teaming audit framework that continuously stress-tests LLMs for health across four safety-critical axes: robustness, privacy, bias and hallucination, which provides a scalable framework for surfacing latent risks before such systems are deployed in consumer-facing health assistan...

Jiazhen Pan, Bailiang Jian, Paul Hager et al. · Nature Health · 0 citations