medical vision-language model

Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs AAAI 2026 Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection EACL 2026 Benchmarking Direct Preference Optimization for Medical Large Vision–Language Models EACL 2026 Beyond Surface Features: Advancing Medical Vision-Language Alignment via Dynamic Evidence-Guided Preference Optimization ACL 2026 CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation CVPR 2026 Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations EACL 2026 Hyperbolic Relational Prompts for Intersectional Fairness in Medical VLMs CVPR 2026 LATA: Laplacian-Assisted Transductive Adaptation for Conformal Uncertainty in Medical VLMs CVPR 2026 When Background Matters: Breaking Medical Vision Language Models by Transferable Attack ACL 2026 FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models CVPR 2025 Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning ACL 2025 Generate to Ground: Multimodal Text Conditioning Boosts Phrase Grounding in Medical Vision-Language Models MIDL 2025 HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models ACL 2025 Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback ACL 2025 MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output CVPR 2025 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models ICLR 2025 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NeurIPS 2024 RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024