Cobra for Multimodal Language Learning: Efficient Multimodal Large Language Models (MLLM) with Linear Computational Complexity

Recent advancements in multimodal large language models (MLLM) have revolutionized various fields, leveraging the transformative capabilities of large-scale language models like ChatGPT. However, these models, primarily built on Transformer networks, suffer from quadratic computation complexity, hindering efficiency. Contrastingly, Language-Only Models (LLMs) are limited in adaptability due to their sole reliance on language interactions. Researchers are […]

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