Cover Image

Rule-Based Reinforcement Learning for Document Image Classification with Vision Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jungo, Michael, Fischer, Andreas
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models
by: Scius-Bertrand, Anna, et al.
Published: (2024)

DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding
by: Yu, Wenwen, et al.
Published: (2025)

Large Language Models Facilitate Vision Reflection in Image Classification
by: An, Guoyuan, et al.
Published: (2025)

Unified Reinforcement and Imitation Learning for Vision-Language Models
by: Lee, Byung-Kwan, et al.
Published: (2025)

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
by: Peng, Wenshuo, et al.
Published: (2024)

Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
by: Addepalli, Sravanti, et al.
Published: (2023)

Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
by: Gou, Jiaxiang, et al.
Published: (2024)

DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis
by: Vögtlin, Lars, et al.
Published: (2022)

DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
by: Saifullah, Saifullah, et al.
Published: (2024)

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
by: Gao, Yibo, et al.
Published: (2025)

Image Classification with Deep Reinforcement Active Learning
by: Jiu, Mingyuan, et al.
Published: (2024)

TTRV: Test-Time Reinforcement Learning for Vision Language Models
by: Singh, Akshit, et al.
Published: (2025)

GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification
by: Bakkali, Souhail, et al.
Published: (2023)

Language-Guided Token Compression with Reinforcement Learning in Large Vision-Language Models
by: Cao, Sihan, et al.
Published: (2026)

Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
by: Atabuzzaman, Md., et al.
Published: (2025)

TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
by: Zheng, Kaipeng, et al.
Published: (2023)

Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
by: Deng, Huilin, et al.
Published: (2025)

Degradation-Aware Image Enhancement via Vision-Language Classification
by: Cai, Jie, et al.
Published: (2025)

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models
by: Zhong, Lanfeng, et al.
Published: (2025)

Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification
by: Luo, Xiaoliu, et al.
Published: (2026)

Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
by: Li, Ling, et al.
Published: (2025)

Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models
by: Wei, Canshi
Published: (2024)

A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model
by: Hu, Panwen, et al.
Published: (2024)

Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
by: Bai, Jianfa, et al.
Published: (2026)

Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models
by: Meng, Tian, et al.
Published: (2024)

DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification
by: Saifullah, Saifullah, et al.
Published: (2025)

ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models
by: Li, Jiahao, et al.
Published: (2025)

Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification
by: Gallée, Luisa, et al.
Published: (2025)

MIRL: Mutual Information-Guided Reinforcement Learning for Vision-Language Models
by: Zhang, Yin, et al.
Published: (2026)

Small Language Model Meets with Reinforced Vision Vocabulary
by: Wei, Haoran, et al.
Published: (2024)

Reinforcement Learning Friendly Vision-Language Model for Minecraft
by: Jiang, Haobin, et al.
Published: (2023)

Cropper: Vision-Language Model for Image Cropping through In-Context Learning
by: Lee, Seung Hyun, et al.
Published: (2024)

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models
by: Lai, Yuxiang, et al.
Published: (2025)

Intersectional Fairness in Vision-Language Models for Medical Image Disease Classification
by: Zhang, Yupeng, et al.
Published: (2025)

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
by: Shi, Jiangbo, et al.
Published: (2025)

ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?
by: Bui, Doanh C., et al.
Published: (2025)

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Annotation-Free Pathological Image Classification
by: Zhong, Lanfeng, et al.
Published: (2024)

Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models
by: Bui, Phuoc-Nguyen, et al.
Published: (2025)

Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification
by: Mahbod, Amirreza, et al.
Published: (2025)

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning
by: Chen, Liang, et al.
Published: (2025)