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Maskless Discrete Flow Matching

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

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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