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Let me explain Looped Transformers to you
OpenAI Astra and Recurrent Depth / Looped Transformers
Looped-DiT: Scaling Image Diffusion Models
[Zundamon's AI Paper Explained #122] Looped Diffusion Transformer
Looped Transformers Explained: More Depth Without More Parameters
LLMs Don't Need More Parameters. They Need Loops.
Open Mythos AI: Understanding Looped Transformers, Recurrent Reasoning, and Universal Architectures.
S28 | Connecting Looped Models and Masked Diffusion Models
Looped Transformers: More Depth, the Same Weights
Looped Transformers Explained: Reusing Layers for Test-Time Compute
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Last Updated: October 26, 2026
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Today's standout paper is about a deceptively simple idea: instead of making Need to fine-tune a model without the hassle? Try out Crusoe's serverless fine-tuning today! A short video explaining the rumored In this AI Research Roundup episode, Alex discusses the paper: ' References Chng, Yong Xien et al. 2026. We've been taught that in AI, bigger is always better. More layers, more parameters, more compute. But what if the secret to true ... In today's joint session, Alba Carballo-Castro (EPFL), Andrea Miele (University of Basel) and Sanghyun Lee (KAIST) present three ... A guided look inside Nanbeige4.2-3B: what it means to reuse a A detailed architectural breakdown of
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