Cover Image

MURE: Hierarchical Multi-Resolution Encoding via Vision-Language Models for Visual Document Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Fengbin, Cai, Zijing, Wang, Yuzhe, Shao, Pengyang, Wang, Wenjie, Feng, Fuli, Hong, Richang, Chua, Tat-Seng
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs
by: Zhu, Fengbin, et al.
Published: (2023)

Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in Finance
by: Zhu, Fengbin, et al.
Published: (2025)

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding
by: Zhu, Fengbin, et al.
Published: (2024)

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
by: Li, Moxin, et al.
Published: (2024)

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
by: Weng, Yan, et al.
Published: (2025)

Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
by: Zhu, Fengbin, et al.
Published: (2024)

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
by: Xu, Yiyan, et al.
Published: (2025)

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
by: Lin, Zijie, et al.
Published: (2025)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)

Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
by: Li, Moxin, et al.
Published: (2025)

Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)

Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)

Controllable Value Alignment in Large Language Models through Neuron-Level Editing
by: Yang, Yonghui, et al.
Published: (2026)

Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
by: Li, Yongqi, et al.
Published: (2024)

Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
by: Deng, Boyi, et al.
Published: (2024)

Exploring Training and Inference Scaling Laws in Generative Retrieval
by: Cai, Hongru, et al.
Published: (2025)

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation
by: Ye, Ziang, et al.
Published: (2025)

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation
by: Wang, Chengbing, et al.
Published: (2025)

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
by: Cai, Hongru, et al.
Published: (2026)

Reinforced Latent Reasoning for LLM-based Recommendation
by: Zhang, Yang, et al.
Published: (2025)

Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery
by: Yang, Chaoqun, et al.
Published: (2026)

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
by: Qiu, Yilun, et al.
Published: (2025)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)

Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection
by: Wang, Yihui, et al.
Published: (2026)

FinDeepResearch: Evaluating Deep Research Agents in Rigorous Financial Analysis
by: Zhu, Fengbin, et al.
Published: (2025)

Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
by: Huang, Youcheng, et al.
Published: (2024)

Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation
by: Li, Yongqi, et al.
Published: (2024)

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
by: Liao, Xinting, et al.
Published: (2025)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
by: Zhao, Xiaoyan, et al.
Published: (2025)

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
by: Lin, Xinyu, et al.
Published: (2026)

Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
by: Shi, Enyi, et al.
Published: (2026)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)