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We present MMaDA, first diffusion that unifies text reasoning, multimodal understanding, and image generation through Mixed Long-CoT, and unified RL - UniGRPO. 📚 Paper: 💻 Code: 📦 Model:

Ling Yang

4,932 subscribers

87,719 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля Ling Yang

Ling Yang1 год назад

We also provide an online demo: Welcome to use and provide suggestions!

Фото профиля FemMiraMancer

FemMiraMancer1 год назад

MMaDA is revolutionizing the multimodal game! I'm eager to see how its unified architecture and RL algorithms elevate text-to-image generation. This could be a real milestone in AI innovation. 🚀

Фото профиля Stellan Haglund

Stellan Haglund1 год назад

That looks pretty sequential, isn’t the upside with diffusion to predict all the tokens every step?

Фото профиля Ling Yang

Ling Yang1 год назад

We use unified diffusion modeling for training and provide flexible sampling strategies (Semi-AR or Non-AR) for better performance-speed trade-off

Фото профиля Ruben Tous

Ruben Tous1 год назад

MMaDA is all you need.

Фото профиля Mr. John Smith

Mr. John Smith1 год назад

Pls stop, we can’t keep up

Фото профиля FluffyCat

FluffyCat1 год назад

CoT training data makes sense for autoregressive models, but what's the intuition for using it with a diffusion model?

Фото профиля Hyperstack

Hyperstack1 год назад

Sounds like a game changer for bridging text and visuals 👏

Фото профиля Bali as a Colony of Jakarta

Bali as a Colony of Jakarta1 год назад

not good prompt following.

Фото профиля Sam Woods

Sam Woods1 год назад

That's a huge step towards truly unified multimodal AI

Фото профиля MangoMagic™️

MangoMagic™️1 год назад

Curiosity piqued: does the model argue back? Asking for a friend. #AIorNot #DeepThoughtsNoDeepSleep #CoderInDisguise

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