. . . . "M 3 KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation" . . . . . . . . . . "GraphRAG" . . "HippoRAG2" . . "LightRAG" . . "M2ConceptBase" . . . "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." . "M3KG-RAG (Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation)" . . . "MR-MKG" . . "VAT-KG" . . . "2026-02-26T16:25:19.285Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2512.20136" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "TOsKO1xEtmLIE66dS8jTC33Z7kWnCWwBOBEs/ux9Z5HFAUJjfTgjWzjEoWb6KYEC3czSeynusALBOutncCe2zCu7Jm+Oih0NcczBkvt9ZRQubWB/F8Kpg9D5H7sVxQ63n/fuSDEMQIBQm4gZurzO89HDfe7U1LriC3Q7W/xLQu8Y2ItiqKTVLufKR7zgE5qGhOqHow5ewjabs5NGlRI7YraOgFtungOSzx+7/THlHJWeaYU+Kfk76UPoiqJOHFepTaHQatfGtvYuBl7dMtWikRozazhhGzM5GkekhiMW1jHV+hORqHxeDG+q9Bbx0YUw81q//gia7EYN3X/dkoR1vA==" . . .