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Perceive and Calibrate: Analyzing and Enhancing Robustness of Medical Multi-Modal Large Language Models
Dunyuan XU, Xikai Yang, Yaoqian Li +3
Medical Multi-modal Large Language Models (MLLMs) have shown promising clinical performance. However, their sensitivity to real-world input perturbations, such as imaging artifacts…
SurgPub-Video: A Comprehensive Surgical Video Dataset for Enhanced Surgical Intelligence in Vision-Language Model
Yaoqian Li, Xikai Yang, Dunyuan Xu +5
Vision-Language Models (VLMs) have shown significant potential in surgical scene analysis, yet existing models are limited by frame-level datasets and lack high-quality video data…
From Learning to Unlearning: Biomedical Security Protection in Multimodal Large Language Models
Dunyuan Xu, Xikai Yang, Yaoqian Li +2
The security of biomedical Multimodal Large Language Models (MLLMs) has attracted increasing attention. However, training samples easily contain private information and incorrect k…
Medical Large Vision Language Models with Multi-Image Visual Ability
Xikai Yang, Juzheng Miao, Yuchen Yuan +4
Medical large vision-language models (LVLMs) have demonstrated promising performance across various single-image question answering (QA) benchmarks, yet their capability in process…