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20242026
most citedRetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

2 citations · 4 across the 6 of their papers we have counts for

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cs.CV2025★ 1 cited

mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA

Xu Yuan, Liangbo Ning, Qingqing Ye +2

Retrieval-Augmented Generation (RAG) has emerged as an effective paradigm for expanding the knowledge capacity of Multimodal Large Language Models (MLLMs) by incorporating external…