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20242026
most citedEnhanced Multimodal RAG-LLM for Accurate Visual Question Answering

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

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cs.CV2026

Model Guides You How to Draw: Adaptive Visual Gating for Unified Multimodal Reasoning

Wenxi Gao, Guanxi Lu, Didi Zhu +5

Unified multimodal models (UMMs) with interleaved reasoning, which generate both textual and visual steps as part of intermediate reasoning traces, have demonstrated great potentia…

cs.CV2026

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning

Junxiao Xue, Quan Deng, Tingqi Hu +4

Despite recent progress in multimodal large language models (MLLMs), reliable visual question answering in aerial scenes remains challenging. In such scenes, task-critical evidence…