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FUDOKI

Breaking Traditions! FUDOKI Model Makes Multi-Modal Generation and Understanding More Flexible and Efficient

In recent years, the field of artificial intelligence has undergone tremendous changes, particularly with large language models (LLMs) making significant progress in multi-modal tasks. These models demonstrate powerful potential in understanding and generating language, but most current multi-modal models still adopt autoregressive (AR) architectures, which limit their inference process to be relatively monotonous and lacking in flexibility. To address this limitation, a research team from The University of Hong Kong and Huawei Noah’s Ark Lab has proposed a novel model called FUDOKI.The core innovation of FUDOKI lies in its entirely new non-masked discrete flow matching architecture.
6/16/2025 9:49:02 AM
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突破传统!FUDOKI 模型让多模态生成与理解更灵活、更高效

近年来人工智能领域发生了翻天覆地的变化,尤其是大型语言模型(LLMs)在多模态任务上取得了显著进展。 这些模型在理解和生成语言的能力上展现出了强大的潜力,但目前大多数多模态模型依然采用自回归(AR)架构,推理过程较为单一、缺乏灵活性。 为此,香港大学和华为诺亚方舟实验室的研究团队提出了一种全新的模型 ——FUDOKI,旨在打破这一局限。
6/10/2025 7:00:56 PM
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