Image de couverture de livre

Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Anglin, Chen, Ruichao, Lu, Yi, Xu, Hongxia, Chen, Jintai
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MedSAM3: Delving into Segment Anything with Medical Concepts
par: Liu, Anglin, et autres
Publié: (2025)

Multi-rater Prompting for Ambiguous Medical Image Segmentation
par: Wang, Jinhong, et autres
Publié: (2024)

Curing Semantic Drift: A Dynamic Approach to Grounding Generation in Large Vision-Language Models
par: Chen, Jiahe, et autres
Publié: (2025)

STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset
par: Wang, Jinhong, et autres
Publié: (2025)

MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
par: Liu, Jiyao, et autres
Publié: (2025)

Visual Jigsaw Post-Training Improves MLLMs
par: Wu, Penghao, et autres
Publié: (2025)

Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling
par: Wang, Jiahao, et autres
Publié: (2025)

Tail-Aware Post-Training Quantization for 3D Geometry Models
par: Pan, Sicheng, et autres
Publié: (2026)

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging
par: Bao, Zhijie, et autres
Publié: (2026)

HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs
par: Qin, Zheng, et autres
Publié: (2025)

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
par: Zhang, Yuting, et autres
Publié: (2025)

SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
par: Zhao, Weiren, et autres
Publié: (2026)

MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment
par: Liu, Jiyao, et autres
Publié: (2026)

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations
par: Liu, Jiyao, et autres
Publié: (2026)

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
par: Shi, Baorong, et autres
Publié: (2026)

Law of Vision Representation in MLLMs
par: Yang, Shijia, et autres
Publié: (2024)

Training-Free Reasoning and Reflection in MLLMs
par: Wei, Hongchen, et autres
Publié: (2025)

Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs
par: Sun, Yanpeng, et autres
Publié: (2025)

MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration
par: Peng, Jiahui, et autres
Publié: (2026)

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention
par: Chen, Zhi, et autres
Publié: (2026)

Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems
par: Xiang, Tong, et autres
Publié: (2025)

LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
par: Wang, Jinhong, et autres
Publié: (2024)

CodePercept: Code-Grounded Visual STEM Perception for MLLMs
par: Guan, Tongkun, et autres
Publié: (2026)

FreeRet: MLLMs as Training-Free Retrievers
par: Zhu, Yuhan, et autres
Publié: (2025)

OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
par: Chen, Feng, et autres
Publié: (2025)

Global-Local Dual Perception for MLLMs in High-Resolution Text-Rich Image Translation
par: Lu, Junxin, et autres
Publié: (2026)

SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
par: Shu, Fangxun, et autres
Publié: (2025)

Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
par: Xiao, Tong, et autres
Publié: (2025)

MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
par: Zhang, Chenran, et autres
Publié: (2026)

Landscape-Awareness for Geometric View Diffusion Model
par: Chen, Yan-Ting, et autres
Publié: (2026)

Linking Perception, Confidence and Accuracy in MLLMs
par: Du, Yuetian, et autres
Publié: (2026)

Making MLLMs Blind: Adversarial Smuggling Attacks in MLLM Content Moderation
par: Li, Zhiheng, et autres
Publié: (2026)

Sensitivity-Aware Post-Training Quantization for Deep Neural Networks
par: Zheng, Zekang, et autres
Publié: (2025)

Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models
par: Chen, Qiuhui, et autres
Publié: (2024)

Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
par: Xu, Jiashu
Publié: (2024)

Outlier-Aware Post-Training Quantization for Image Super-Resolution
par: Wang, Hailing, et autres
Publié: (2025)

MedVeriSeg: Teaching MLLM-Based Medical Segmentation Models to Verify Query Validity Without Extra Training
par: Lu, Ziqian, et autres
Publié: (2026)

MedFact-R1: Towards Factual Medical Reasoning via Pseudo-Label Augmentation
par: Li, Gengliang, et autres
Publié: (2025)

OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
par: Wang, Jinhong, et autres
Publié: (2025)

Enhancing Scene Transition Awareness in Video Generation via Post-Training
par: Shen, Hanwen, et autres
Publié: (2025)