Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge Graphs

arXiv:2608.25986 · cs.AI · Submitted 2026-08-26 · Read on arXiv

cs.AI

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• RAG — 62× in this paper · explained in 3 episodes
• Knowledge Graph — 41× in this paper · explained in 7 episodes
• Accuracy — 21× in this paper · explained in 1 episode
• Knowledge graphs — 21× in this paper · explained in 2 episodes
• Graph Construction — 11× in this paper · explained in 3 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Hallucination — 6× in this paper · explained in 3 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• International Conference on Machine Learning — 1× in this paper
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Modality Gap — 1× in this paper · explained in 4 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Semantic Gap — 1× in this paper · explained in 2 episodes

Sources

• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Qwen2.5-VL Technical Report
• Hallucination of Multimodal Large Language Models: A Survey
• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
• Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
• M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
• MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Retrieval-Augmented Generation for Large Language Models: A Survey
• The Llama 3 Herd of Models
• RAG-Anything: All-in-One RAG Framework
• LightRAG: Simple and Fast Retrieval-Augmented Generation
• Retrieval-Augmented Generation with Graphs (GraphRAG)
• HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document
• MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
• Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering
• GPT-4 Technical Report
• VAT-KG: Knowledge-Intensive Multimodal Knowledge Graph Dataset for Retrieval-Augmented Generation
• Graph Retrieval-Augmented Generation: A Survey
• Proximal Policy Optimization Algorithms

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