Author

Xian Wu

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Conference Open access 2026

Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization

Dynamic Evidence-Guided Preference Optimization (DEPO) is proposed, a new framework that enables evidence-aware and adaptive preference learning for Med-LVLMs and introduces Multi-Modal Evidence Perturbation (MEP) to suppress non-causal textual and visual shortcuts and Dispre-ferred Evidence Resampling (DER) to continuously update dispreferred responses as hallucination patterns evolve.

Zixuan Huang, Zhihong Zhu, Xiaolong Liu et al. · Annual Meeting of the Associ... · 0 citations

#artificial intelligence Preprint Aug 2026

MedUAG: Unified Understanding and Generation for Medical Multimodal Models

This work develops MedUAG, an end-to-end trained unified medical model that achieves strong performance across a wide array of understanding and generation tasks, establishing a competitive baseline and paving the way for next-generation medical multimodal systems.

Zijie Meng, Yuncheng Zhang, Hualiang Wang et al. · 0 citations