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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 Aufrufe • vor 1 Jahr •via X (Twitter)

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11 Kommentare

Profilbild von Ling Yang

Ling Yangvor 1 Jahr

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

Profilbild von FemMiraMancer

FemMiraMancervor 1 Jahr

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. 🚀

Profilbild von Stellan Haglund

Stellan Haglundvor 1 Jahr

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

Profilbild von Ling Yang

Ling Yangvor 1 Jahr

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

Profilbild von Ruben Tous

Ruben Tousvor 1 Jahr

MMaDA is all you need.

Profilbild von Mr. John Smith

Mr. John Smithvor 1 Jahr

Pls stop, we can’t keep up

Profilbild von FluffyCat

FluffyCatvor 1 Jahr

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

Profilbild von Hyperstack

Hyperstackvor 1 Jahr

Sounds like a game changer for bridging text and visuals 👏

Profilbild von Bali as a Colony of Jakarta

Bali as a Colony of Jakartavor 1 Jahr

not good prompt following.

Profilbild von Sam Woods

Sam Woodsvor 1 Jahr

That's a huge step towards truly unified multimodal AI

Profilbild von MangoMagic™️

MangoMagic™️vor 1 Jahr

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

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