MedM-VL: What Makes a Good Medical LVLM?
Fuente:
arXiv
Saved in:
| Main Authors: | Shi, Yiming, Yang, Shaoshuai, Zhu, Xun, Wang, Haoyu, Fu, Xiangling, Li, Miao, Wu, Ji |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model
by: Shi, Yiming, et al.
Published: (2024)
by: Shi, Yiming, et al.
Published: (2024)
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
by: Zhan, Chenlu, et al.
Published: (2024)
by: Zhan, Chenlu, et al.
Published: (2024)
Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
by: Zhu, Xun, et al.
Published: (2026)
by: Zhu, Xun, et al.
Published: (2026)
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
by: Zhu, Xun, et al.
Published: (2024)
by: Zhu, Xun, et al.
Published: (2024)
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
by: Hu, Yutao, et al.
Published: (2024)
by: Hu, Yutao, et al.
Published: (2024)
What Makes for a Good Stereoscopic Image?
by: Tamir, Netanel Y., et al.
Published: (2024)
by: Tamir, Netanel Y., et al.
Published: (2024)
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI
by: Li, Tianbin, et al.
Published: (2024)
by: Li, Tianbin, et al.
Published: (2024)
What Makes for Good Image Captions?
by: Chen, Delong, et al.
Published: (2024)
by: Chen, Delong, et al.
Published: (2024)
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale
by: Gai, Xiaotang, et al.
Published: (2024)
by: Gai, Xiaotang, et al.
Published: (2024)
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data
by: Zhu, Xun, et al.
Published: (2025)
by: Zhu, Xun, et al.
Published: (2025)
LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering
by: Ma, Runze, et al.
Published: (2026)
by: Ma, Runze, et al.
Published: (2026)
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning
by: Su, Yanzhou, et al.
Published: (2025)
by: Su, Yanzhou, et al.
Published: (2025)
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation
by: Zhu, Lanyun, et al.
Published: (2025)
by: Zhu, Lanyun, et al.
Published: (2025)
What Makes a Good Dataset for Knowledge Distillation?
by: Frank, Logan, et al.
Published: (2024)
by: Frank, Logan, et al.
Published: (2024)
Med-Evo: Test-time Self-evolution for Medical Multimodal Large Language Models
by: Xu, Dunyuan, et al.
Published: (2026)
by: Xu, Dunyuan, et al.
Published: (2026)
MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing
by: Wang, Wenjie, et al.
Published: (2026)
by: Wang, Wenjie, et al.
Published: (2026)
LAVID: An Agentic LVLM Framework for Diffusion-Generated Video Detection
by: Liu, Qingyuan, et al.
Published: (2025)
by: Liu, Qingyuan, et al.
Published: (2025)
MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows
by: Shen, Weixiang, et al.
Published: (2026)
by: Shen, Weixiang, et al.
Published: (2026)
Fleming-VL: Towards Universal Medical Visual Reasoning with Multimodal LLMs
by: Shu, Yan, et al.
Published: (2025)
by: Shu, Yan, et al.
Published: (2025)
Latent Denoising Makes Good Tokenizers
by: Yang, Jiawei, et al.
Published: (2025)
by: Yang, Jiawei, et al.
Published: (2025)
What Makes Good Few-shot Examples for Vision-Language Models?
by: Guo, Zhaojun, et al.
Published: (2024)
by: Guo, Zhaojun, et al.
Published: (2024)
Med-CAM: Minimal Evidence for Explaining Medical Decision Making
by: Suhail, Pirzada, et al.
Published: (2026)
by: Suhail, Pirzada, et al.
Published: (2026)
Kimi-VL Technical Report
by: Kimi Team, et al.
Published: (2025)
by: Kimi Team, et al.
Published: (2025)
MedUHIP: Towards Human-In-the-Loop Medical Segmentation
by: Zhu, Jiayuan, et al.
Published: (2024)
by: Zhu, Jiayuan, et al.
Published: (2024)
SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense
by: Huang, Yiyang, et al.
Published: (2025)
by: Huang, Yiyang, et al.
Published: (2025)
MedVL-SAM2: A unified 3D medical vision-language model for multimodal reasoning and prompt-driven segmentation
by: Xing, Yang, et al.
Published: (2026)
by: Xing, Yang, et al.
Published: (2026)
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
by: Wang, Haoyu, et al.
Published: (2023)
by: Wang, Haoyu, et al.
Published: (2023)
LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose Models
by: Mazor, Nir, et al.
Published: (2025)
by: Mazor, Nir, et al.
Published: (2025)
Kwai Keye-VL Technical Report
by: Kwai Keye Team, et al.
Published: (2025)
by: Kwai Keye Team, et al.
Published: (2025)
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
by: Li, Fanxiao, et al.
Published: (2025)
by: Li, Fanxiao, et al.
Published: (2025)
Multi-Level LVLM Guidance for Untrimmed Video Action Recognition
by: Peng, Liyang, et al.
Published: (2025)
by: Peng, Liyang, et al.
Published: (2025)
Make Your LVLM KV Cache More Lightweight
by: Chen, Xihao, et al.
Published: (2026)
by: Chen, Xihao, et al.
Published: (2026)
What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?
by: Yan, David, et al.
Published: (2025)
by: Yan, David, et al.
Published: (2025)
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor
by: Lin, Ethan, et al.
Published: (2025)
by: Lin, Ethan, et al.
Published: (2025)
VideoRoPE: What Makes for Good Video Rotary Position Embedding?
by: Wei, Xilin, et al.
Published: (2025)
by: Wei, Xilin, et al.
Published: (2025)
VL-MedGuide: A Visual-Linguistic Large Model for Intelligent and Explainable Skin Disease Auxiliary Diagnosis
by: Yu, Kexin, et al.
Published: (2025)
by: Yu, Kexin, et al.
Published: (2025)
Xiaomi MiMo-VL-Miloco Technical Report
by: Li, Jiaze, et al.
Published: (2025)
by: Li, Jiaze, et al.
Published: (2025)
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
by: Xu, Katherine, et al.
Published: (2024)
by: Xu, Katherine, et al.
Published: (2024)
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
by: Hwang, Yerin, et al.
Published: (2025)
by: Hwang, Yerin, et al.
Published: (2025)
GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks
by: Zhang, Hantao, et al.
Published: (2026)
by: Zhang, Hantao, et al.
Published: (2026)
Similar Items
-
Med-2E3: A 2D-Enhanced 3D Medical Multimodal Large Language Model
by: Shi, Yiming, et al.
Published: (2024) -
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
by: Zhan, Chenlu, et al.
Published: (2024) -
Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification
by: Zhu, Xun, et al.
Published: (2026) -
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE
by: Zhu, Xun, et al.
Published: (2024) -
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
by: Hu, Yutao, et al.
Published: (2024)