Cover Image

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cho, Jaemin, Mahata, Debanjan, Irsoy, Ozan, He, Yujie, Bansal, Mohit
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning
by: Lin, Han, et al.
Published: (2023)

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
by: Zhang, Shiyue, et al.
Published: (2023)

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

Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement
by: Lee, Daeun, et al.
Published: (2024)

Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
by: Lee, Daeun, et al.
Published: (2025)

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval
by: Wu, Xixi, et al.
Published: (2025)

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
by: Zala, Abhay, et al.
Published: (2023)

CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
by: Pothiraj, Atin, et al.
Published: (2025)

RotBench: Evaluating Multimodal Large Language Models on Identifying Image Rotation
by: Niu, Tianyi, et al.
Published: (2025)

Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations
by: Chandra, Mohit, et al.
Published: (2025)

Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
by: Madaan, Divyam, et al.
Published: (2025)

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
by: Wan, David, et al.
Published: (2024)

Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
by: Lin, Han, et al.
Published: (2025)

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation
by: Hu, Chan-Wei, et al.
Published: (2025)

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
by: Khan, Zaid, et al.
Published: (2024)

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
by: Yu, Shi, et al.
Published: (2024)

Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines
by: Ma, Zi-Ao, et al.
Published: (2024)

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
by: Zala, Abhay, et al.
Published: (2024)

Can Multi-modal (reasoning) LLMs detect document manipulation?
by: Liang, Zisheng, et al.
Published: (2025)

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
by: Tang, Yixuan, et al.
Published: (2024)

MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection
by: Lu, Weihai, et al.
Published: (2026)

MultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents
by: Shin, Joongmin, et al.
Published: (2026)

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
by: Li, Jialu, et al.
Published: (2024)

Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization
by: Li, Jialu, et al.
Published: (2025)

ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering
by: Zhu, Yikai, et al.
Published: (2026)

Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding
by: Wang, Yueqian, et al.
Published: (2024)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
by: Khan, Zaid, et al.
Published: (2025)

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
by: Khan, Zaid, et al.
Published: (2025)

MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation
by: Xiao, Xingchen, et al.
Published: (2026)

AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation
by: Wang, Zhengren, et al.
Published: (2026)

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment
by: Zhang, Ming, et al.
Published: (2024)

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
by: Cho, Jaemin, et al.
Published: (2023)

DocLens : A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
by: Zhu, Dawei, et al.
Published: (2025)

3M: Multi-modal Multi-task Multi-teacher Learning for Game Event Detection
by: Ng, Thye Shan, et al.
Published: (2024)

You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
by: Chen, Shengyuan, et al.
Published: (2025)

MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
by: Wu, Pingyu, et al.
Published: (2025)

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
by: Wang, Xihang, et al.
Published: (2026)

PrefRAG: Preference-Driven Multi-Source Retrieval Augmented Generation
by: Zhao, Qingfei, et al.
Published: (2024)

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
by: He, Zheqi, et al.
Published: (2024)

Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
by: Wu, Zichen, et al.
Published: (2024)