Structural Anchor Pruning: Training-Free Multi-Vector Compression for Visual Document Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Zhuchenyang, Hu, Ziyu, Zhang, Yao, Xiao, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
by: Yan, Yibo, et al.
Published: (2026)
by: Yan, Yibo, et al.
Published: (2026)
NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
by: Liu, Zhuchenyang, et al.
Published: (2026)
by: Liu, Zhuchenyang, et al.
Published: (2026)
Fine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late Interaction
by: Zhang, Yao, et al.
Published: (2026)
by: Zhang, Yao, et al.
Published: (2026)
Hierarchical Patch Compression for ColPali: Efficient Multi-Vector Document Retrieval with Dynamic Pruning and Quantization
by: Bach, Duong
Published: (2025)
by: Bach, Duong
Published: (2025)
Attention Grounded Enhancement for Visual Document Retrieval
by: Cui, Wanqing, et al.
Published: (2025)
by: Cui, Wanqing, et al.
Published: (2025)
Multi-Vector Index Compression in Any Modality
by: Qin, Hanxiang, et al.
Published: (2026)
by: Qin, Hanxiang, et al.
Published: (2026)
Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
by: Yan, Yibo, et al.
Published: (2026)
by: Yan, Yibo, et al.
Published: (2026)
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
by: Zhou, Junjie, et al.
Published: (2024)
by: Zhou, Junjie, et al.
Published: (2024)
Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
by: Kim, Juyeon, et al.
Published: (2025)
by: Kim, Juyeon, et al.
Published: (2025)
ReinPool: Reinforcement Learning Pooling Multi-Vector Embeddings for Retrieval System
by: Cha, Sungguk, et al.
Published: (2026)
by: Cha, Sungguk, et al.
Published: (2026)
Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
by: Shen, Wenxuan, et al.
Published: (2025)
by: Shen, Wenxuan, et al.
Published: (2025)
Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)
by: Dong, Kuicai, et al.
Published: (2025)
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
by: Yu, Shi, et al.
Published: (2024)
by: Yu, Shi, et al.
Published: (2024)
ColPali: Efficient Document Retrieval with Vision Language Models
by: Faysse, Manuel, et al.
Published: (2024)
by: Faysse, Manuel, et al.
Published: (2024)
Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
by: Shih, Yu-Fei, et al.
Published: (2025)
by: Shih, Yu-Fei, et al.
Published: (2025)
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
by: Tanaka, Ryota, et al.
Published: (2025)
by: Tanaka, Ryota, et al.
Published: (2025)
A Multi-Granularity Retrieval Framework for Visually-Rich Documents
by: Xu, Mingjun, et al.
Published: (2025)
by: Xu, Mingjun, et al.
Published: (2025)
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
by: Guo, Hao, et al.
Published: (2025)
by: Guo, Hao, et al.
Published: (2025)
Index Light, Reason Deep: Deferred Visual Ingestion for Visual-Dense Document Question Answering
by: Xu, Tao
Published: (2026)
by: Xu, Tao
Published: (2026)
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
by: Long, Xinwei, et al.
Published: (2025)
by: Long, Xinwei, et al.
Published: (2025)
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
by: Wu, Siwei, et al.
Published: (2024)
by: Wu, Siwei, et al.
Published: (2024)
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
by: Wang, Qiuchen, et al.
Published: (2025)
by: Wang, Qiuchen, et al.
Published: (2025)
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
by: Shereen, Ezzeldin, et al.
Published: (2025)
by: Shereen, Ezzeldin, et al.
Published: (2025)
Towards Text-Image Interleaved Retrieval
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation
by: Luo, Weiqing, et al.
Published: (2026)
by: Luo, Weiqing, et al.
Published: (2026)
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
by: Dong, Kuicai, et al.
Published: (2025)
by: Dong, Kuicai, et al.
Published: (2025)
MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
by: Xiao, Zilin, et al.
Published: (2025)
by: Xiao, Zilin, et al.
Published: (2025)
Visual RAG Toolkit: Scaling Multi-Vector Visual Retrieval with Training-Free Pooling and Multi-Stage Search
by: Yeroyan, Ara
Published: (2026)
by: Yeroyan, Ara
Published: (2026)
Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images
by: Xiao, Bin, et al.
Published: (2023)
by: Xiao, Bin, et al.
Published: (2023)
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval
by: Sun, Zelong, et al.
Published: (2025)
by: Sun, Zelong, et al.
Published: (2025)
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
by: Liu, Peiyang, et al.
Published: (2026)
by: Liu, Peiyang, et al.
Published: (2026)
Efficient and High-Fidelity Omni Modality Retrieval
by: Huynh, Chuong, et al.
Published: (2026)
by: Huynh, Chuong, et al.
Published: (2026)
Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation
by: Zhao, Shu, et al.
Published: (2025)
by: Zhao, Shu, et al.
Published: (2025)
Large Language Model Informed Patent Image Retrieval
by: Lo, Hao-Cheng, et al.
Published: (2024)
by: Lo, Hao-Cheng, et al.
Published: (2024)
MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory
by: Guo, Minghao, et al.
Published: (2026)
by: Guo, Minghao, et al.
Published: (2026)
Indexing Multimodal Language Models for Large-scale Image Retrieval
by: Tharwat, Bahey, et al.
Published: (2026)
by: Tharwat, Bahey, et al.
Published: (2026)
CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval
by: Wan, David, et al.
Published: (2025)
by: Wan, David, et al.
Published: (2025)
Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation
by: Martin, Alexander, et al.
Published: (2025)
by: Martin, Alexander, et al.
Published: (2025)
M3DR: Towards Universal Multilingual Multimodal Document Retrieval
by: Kolavi, Adithya S, et al.
Published: (2025)
by: Kolavi, Adithya S, et al.
Published: (2025)
DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning
by: Yan, Yibo, et al.
Published: (2025)
by: Yan, Yibo, et al.
Published: (2025)
Similar Items
-
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
by: Yan, Yibo, et al.
Published: (2026) -
NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
by: Liu, Zhuchenyang, et al.
Published: (2026) -
Fine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late Interaction
by: Zhang, Yao, et al.
Published: (2026) -
Hierarchical Patch Compression for ColPali: Efficient Multi-Vector Document Retrieval with Dynamic Pruning and Quantization
by: Bach, Duong
Published: (2025) -
Attention Grounded Enhancement for Visual Document Retrieval
by: Cui, Wanqing, et al.
Published: (2025)