Multimodal Large Diffusion Language Models (MMaDA)
SMRTR summary
Multimodal Large Diffusion Language Models (MMaDA) offer a novel approach to textual reasoning, multimodal understanding, and text-to-image generation using a unified diffusion architecture for all modalities. Built on LLaDA and using Show-o's pretrained weights and image tokenizer, MMaDA was trained on diverse datasets for various tasks. While showing promise in speed and multimodal capabilities, it still needs improvement in prompt adherence and complex reasoning. This innovation may significantly impact the development and use of language and multimodal models.
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