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Ying Fan: Looped Transformers for Length Generalization
Looped Transformers Explained: Reusing Layers for Test-Time Compute
Scaling Latent Reasoning via Looped Language Models - Rui-Jie Zhu | ASAP 48
Recurrent Looped Transformer
SMELT: Scaling Looped MoE Transformers
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers (Sep 2026)
Attention in transformers, step-by-step | Deep Learning Chapter 6
Why Recurrent Looped Transformers Might Finally Fix AI Memory
Deep dive into adaptive on-time control mode
Online Sim-to-Real Adaptation via Closed-Loop System Modeling
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Last Updated: October 3, 2026
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Summary
In this AI Research Roundup episode, Alex discusses the paper: 'DeepLoop: Depth OpenAI's GPT-6 (codename Astra) shipped on September 3, 2026, and one architecture phrase leaked out with it: "recurrent ... Talk given by Ying Fan to the Formal Languages and Neural Networks discord on August 18, 2025. Thank you, Ying! Paper link: ... A detailed architectural breakdown of Paper: arxiv.org/pdf/2510.25741 Speaker: ruijie-zhu.github.io/ Slides: ... For years, AI progress was driven by larger models, more data, and bigger GPUs. But a new paradigm is emerging: Recursive ... Demystifying attention, the key mechanism inside A new architecture, the Recurrent This training provides an overview of the most common control topologies. We will then explore the history of D-CAP™ control ... Project website (paper, code, video): generalroboticslab.com/OSRAM Abstract: Sim-to-real transfer has made substantial ...
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