Cover Image

Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Shu, Shen, Tianyi, Ahuja, Nilesh, Tickoo, Omesh, Narayanan, Vijaykrishnan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parts-Mamba: Augmenting Joint Context with Part-Level Scanning for Occluded Human Skeleton
by: Shen, Tianyi, et al.
Published: (2025)

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
by: Dong, Kuicai, et al.
Published: (2025)

Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation
by: Martin, Alexander, et al.
Published: (2025)

Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
by: Shen, Wenxuan, et al.
Published: (2025)

MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition
by: Zhao, Shu, et al.
Published: (2025)

MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation
by: Hsiao, Chi-Hsiang, et al.
Published: (2025)

XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags
by: Shohan, Faisal Tareque, et al.
Published: (2024)

CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval
by: Wan, David, et al.
Published: (2025)

Indexing Multimodal Language Models for Large-scale Image Retrieval
by: Tharwat, Bahey, et al.
Published: (2026)

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
by: Long, Xinwei, et al.
Published: (2025)

MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
by: Xiao, Zilin, et al.
Published: (2025)

Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation
by: Luo, Weiqing, et al.
Published: (2026)

Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
by: Song, Tingyu, et al.
Published: (2026)

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
by: Tanaka, Ryota, et al.
Published: (2025)

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
by: Wang, Qiuchen, et al.
Published: (2025)

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
by: Liu, Peiyang, et al.
Published: (2026)

Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture
by: Zhang, Longxiang, et al.
Published: (2026)

FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
by: Sarwar, Nobin
Published: (2025)

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
by: Zhou, Junjie, et al.
Published: (2024)

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

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
by: Shereen, Ezzeldin, et al.
Published: (2025)

Progressive Multimodal Reasoning via Active Retrieval
by: Dong, Guanting, et al.
Published: (2024)

Towards Text-Image Interleaved Retrieval
by: Zhang, Xin, et al.
Published: (2025)

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
by: Dong, Kuicai, et al.
Published: (2025)

Attention Grounded Enhancement for Visual Document Retrieval
by: Cui, Wanqing, et al.
Published: (2025)

Efficient and High-Fidelity Omni Modality Retrieval
by: Huynh, Chuong, et al.
Published: (2026)

Large Language Model Informed Patent Image Retrieval
by: Lo, Hao-Cheng, et al.
Published: (2024)

ColPali: Efficient Document Retrieval with Vision Language Models
by: Faysse, Manuel, et al.
Published: (2024)

M3DR: Towards Universal Multilingual Multimodal Document Retrieval
by: Kolavi, Adithya S, et al.
Published: (2025)

Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics
by: Zhu, Jing, et al.
Published: (2025)

Re-ranking the Context for Multimodal Retrieval Augmented Generation
by: Mortaheb, Matin, et al.
Published: (2025)

CrisiSense-RAG: Crisis Sensing Multimodal Retrieval-Augmented Generation for Rapid Disaster Impact Assessment
by: Xiao, Yiming, et al.
Published: (2026)

RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
by: Ling, Run, et al.
Published: (2025)

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation
by: Lyu, Hanjia, et al.
Published: (2024)

Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
by: Guo, Hao, et al.
Published: (2025)

ReinPool: Reinforcement Learning Pooling Multi-Vector Embeddings for Retrieval System
by: Cha, Sungguk, et al.
Published: (2026)

VideoRAG: Retrieval-Augmented Generation over Video Corpus
by: Jeong, Soyeong, et al.
Published: (2025)

LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
by: Kim, Seonok
Published: (2026)

InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
by: Hou, Bohan, 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)