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- M3KGRAG type Workflow assertion.
- M3KGRAG label "M3KG-RAG (Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation)" assertion.
- M3KGRAG comment "M3KG-RAG is an end-to-end framework that constructs a multi-hop multimodal knowledge graph (M3KG) using a lightweight multi-agent pipeline (LLMs as agents for KG construction) and employs a novel Grounded Retrieval And Selective Pruning (GRASP) mechanism for retrieving and filtering knowledge. It is designed to enhance multimodal large language models (MLLMs) by supplying query-aligned, answer-supportive knowledge to improve their reasoning depth and answer faithfulness. This method integrates LLM agents for KG construction and KG-enhanced retrieval for MLLMs, thereby synergizing both aspects for reasoning." assertion.
- M3KGRAG subject SynergizedReasoning assertion.
- M3KGRAG hasTopCategory SynergizedLLMKG assertion.