MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Zichun, Shi, Hairong, Wei, Bingzheng, Xu, Yan, Wang, Zihua |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
por: Yan, Zhonghao, et al.
Publicado: (2025)
por: Yan, Zhonghao, et al.
Publicado: (2025)
Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs
por: Ma, Wen, et al.
Publicado: (2026)
por: Ma, Wen, et al.
Publicado: (2026)
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
por: Xu, Huihui, et al.
Publicado: (2025)
por: Xu, Huihui, et al.
Publicado: (2025)
MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data
por: Zhang, Mengmeng, et al.
Publicado: (2026)
por: Zhang, Mengmeng, et al.
Publicado: (2026)
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
por: Shen, Jiachen, et al.
Publicado: (2023)
por: Shen, Jiachen, et al.
Publicado: (2023)
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
por: Du, Yuxin, et al.
Publicado: (2023)
por: Du, Yuxin, et al.
Publicado: (2023)
GenSeg-R1: RL-Driven Vision-Language Grounding for Fine-Grained Referring Segmentation
por: Hegde, Sandesh, et al.
Publicado: (2026)
por: Hegde, Sandesh, et al.
Publicado: (2026)
MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding
por: Yang, Guangjing, et al.
Publicado: (2026)
por: Yang, Guangjing, et al.
Publicado: (2026)
Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI
por: Moukheiber, Lama, et al.
Publicado: (2026)
por: Moukheiber, Lama, et al.
Publicado: (2026)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
por: Ding, Meidan, et al.
Publicado: (2025)
por: Ding, Meidan, et al.
Publicado: (2025)
Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
por: Lin, Tianwei, et al.
Publicado: (2026)
por: Lin, Tianwei, et al.
Publicado: (2026)
Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology
por: Wang, Haochen, et al.
Publicado: (2025)
por: Wang, Haochen, et al.
Publicado: (2025)
MedSeg-R: Medical Image Segmentation with Clinical Reasoning
por: Shao, Hao, et al.
Publicado: (2025)
por: Shao, Hao, et al.
Publicado: (2025)
Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
por: Meng, Jiahao, et al.
Publicado: (2025)
por: Meng, Jiahao, et al.
Publicado: (2025)
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
por: Yan, Siming, et al.
Publicado: (2024)
por: Yan, Siming, et al.
Publicado: (2024)
Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
por: Gong, Haozhen, et al.
Publicado: (2025)
por: Gong, Haozhen, et al.
Publicado: (2025)
Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning
por: Wang, Haozhe, et al.
Publicado: (2026)
por: Wang, Haozhe, et al.
Publicado: (2026)
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
por: Huang, Yu, et al.
Publicado: (2025)
por: Huang, Yu, et al.
Publicado: (2025)
SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
por: Wang, Haoyu, et al.
Publicado: (2023)
por: Wang, Haoyu, et al.
Publicado: (2023)
MedLiteNet: Lightweight Hybrid Medical Image Segmentation Model
por: Yu, Pengyang, et al.
Publicado: (2025)
por: Yu, Pengyang, et al.
Publicado: (2025)
MedSAM3: Delving into Segment Anything with Medical Concepts
por: Liu, Anglin, et al.
Publicado: (2025)
por: Liu, Anglin, et al.
Publicado: (2025)
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
por: Pan, Jiazhen, et al.
Publicado: (2025)
por: Pan, Jiazhen, et al.
Publicado: (2025)
Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
por: Zeng, Shuang, et al.
Publicado: (2023)
por: Zeng, Shuang, et al.
Publicado: (2023)
GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery
por: Jiang, Lifan, et al.
Publicado: (2026)
por: Jiang, Lifan, et al.
Publicado: (2026)
VSRD++: Autolabeling for 3D Object Detection via Instance-Aware Volumetric Silhouette Rendering
por: Liu, Zihua, et al.
Publicado: (2025)
por: Liu, Zihua, et al.
Publicado: (2025)
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
por: Liu, Zihua, et al.
Publicado: (2024)
por: Liu, Zihua, et al.
Publicado: (2024)
SciEGQA: A Dataset for Scientific Evidence-Grounded Question Answering and Reasoning
por: Yu, Wenhan, et al.
Publicado: (2025)
por: Yu, Wenhan, et al.
Publicado: (2025)
RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
por: Feng, Sicheng, et al.
Publicado: (2025)
por: Feng, Sicheng, et al.
Publicado: (2025)
OpenGround: Active Cognition-based Reasoning for Open-World 3D Visual Grounding
por: Huang, Wenyuan, et al.
Publicado: (2025)
por: Huang, Wenyuan, et al.
Publicado: (2025)
Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
por: Deng, Ziye, et al.
Publicado: (2025)
por: Deng, Ziye, et al.
Publicado: (2025)
MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
por: Xi, Suyang, et al.
Publicado: (2026)
por: Xi, Suyang, et al.
Publicado: (2026)
Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
por: Xiao, Tong, et al.
Publicado: (2025)
por: Xiao, Tong, et al.
Publicado: (2025)
ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning
por: Lv, Guannan, et al.
Publicado: (2026)
por: Lv, Guannan, et al.
Publicado: (2026)
SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
por: Guo, Xiaojun, et al.
Publicado: (2025)
por: Guo, Xiaojun, et al.
Publicado: (2025)
VTPerception-R1: Enhancing Multimodal Reasoning via Explicit Visual and Textual Perceptual Grounding
por: Ding, Yizhuo, et al.
Publicado: (2025)
por: Ding, Yizhuo, et al.
Publicado: (2025)
IAD-Unify: A Region-Grounded Unified Model for Industrial Anomaly Segmentation, Understanding, and Generation
por: Zheng, Haoyu, et al.
Publicado: (2026)
por: Zheng, Haoyu, et al.
Publicado: (2026)
Towards Unified Surgical Scene Understanding:Bridging Reasoning and Grounding via MLLMs
por: Huang, Jincai, et al.
Publicado: (2026)
por: Huang, Jincai, et al.
Publicado: (2026)
VideoRewardBench: Comprehensive Evaluation of Multimodal Reward Models for Video Understanding
por: Zhang, Zhihong, et al.
Publicado: (2025)
por: Zhang, Zhihong, et al.
Publicado: (2025)
Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
por: Jing, Miao, et al.
Publicado: (2025)
por: Jing, Miao, et al.
Publicado: (2025)
Towards Synergistic Deep Learning Models for Volumetric Cirrhotic Liver Segmentation in MRIs
por: Gorade, Vandan, et al.
Publicado: (2024)
por: Gorade, Vandan, et al.
Publicado: (2024)
Ejemplares similares
-
MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
por: Yan, Zhonghao, et al.
Publicado: (2025) -
Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs
por: Ma, Wen, et al.
Publicado: (2026) -
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
por: Xu, Huihui, et al.
Publicado: (2025) -
MedGround: Bridging the Evidence Gap in Medical Vision-Language Models with Verified Grounding Data
por: Zhang, Mengmeng, et al.
Publicado: (2026) -
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation
por: Shen, Jiachen, et al.
Publicado: (2023)