. . . . "VAT-KG: KNOWLEDGE-INTENSIVE MULTIMODAL KNOWLEDGE GRAPH DATASET FOR RETRIEVAL-AUGMENTED GENERATION" . . . . . . . . . . . "Gemini-2.5" . . "GPT-4o" . . "M2ConceptBase" . . . "This framework integrates VAT-KG with Multimodal Large Language Models (MLLMs) for question answering across diverse modalities. It synergistically combines retrieval from VAT-KG with MLLM generation and includes a \"Retrieval Checker\" that uses the MLLM's text encoder to filter retrieved KG triplets, indicating a unified reasoning process where both LLM and KG representations are actively combined." . "Multimodal RAG Framework" . . . "Qwen2.5-Omni" . . . "This method proposes a four-step pipeline for constructing the Visual-Audio-Text Knowledge Graph (VAT-KG). It explicitly leverages LLMs for \"Knowledge-Intensive Recaptioning\" to enrich textual data and \"Multimodal Triplet Grounding\" to extract knowledge-intensive triplets, directly supporting the construction of the knowledge graph. Thus, LLMs are used to improve a KG task, specifically KG construction." . "VAT-KG Construction Pipeline" . . . "Video-LLaMA2" . . "Wikidata5M" . . . "2026-02-26T15:44:44.440Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2506.21556" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "OqddnoTeurqKLv5Mku14JsvxdjqJExiHn4ql1dROycCWvq2fO0lrClRvIinPQx8iNULpuxn03UK+4bZ8L/ga38jxrQ9rhm+d2C8cZAQ0XxNtvu2MCKqFxbUeMTYI4SuCeOslm6E4DZ0/yY29WEl7hUxqga/RIhe/OuMU7y46gerkPAaXFQuIbaVpGgDOQQ1Z9kHTFJ0H6Wxbt+opXbsHqNV3ZvkCsucfMQUaSwk8KMkBghFVnmX1AYd94e5F/JhybnRjY10nqYsTx/2ovf++7FOeIox6/54jVcV9+JIzVQDj/ArlOdy20AToMINyGAT0vlHPLU73JBdBuZviB/uSjg==" . . .