This page shows the most relevant public items for Foundation Models, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 19, 2026 • arXiv • Google DeepMind Team
We introduce Gemini 3.1 Pro, an enhanced version of the Gemini 3 series optimized for rigorous logic and long-horizon problem solving. Built on a hybrid architecture that fuses linear attention wit...
Paper • Mar 4, 2026 • arXiv • Yong Liu, Xingjian Su, Shiyu Wang, Haoran Zhang
While text and image foundation models have scaled massively, time-series forecasting has lagged behind due to architectural constraints. Timer-S1 introduces a billion-parameter foundation model sp...
Paper • Oct 13, 2023 • arXiv • Open X-Embodiment Collaboration (Google DeepMind & Academic Partners)
Large, diverse datasets have catalyzed breakthroughs in natural language and computer vision, yet robotics has struggled to build generalist models due to the fragmented nature of hardware platform...
Paper • Jun 20, 2023 • arXiv • Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauza, Todor Davchev, Yuxiang Zhou, DeepMind Robotics Team
Creating general-purpose robots requires models that can rapidly adapt to new tasks and new physical embodiments. We present RoboCat, a self-improving foundation agent for robotic manipulation. Rob...
Paper • Feb 17, 2026 • arXiv • Zhipu AI Team, Tsinghua University Researchers
We present GLM-5, a foundation model designed to bridge the gap between human-guided 'vibe coding' and autonomous 'agentic engineering.' GLM-5 introduces DeepSeek-inspired Sparse Attention (DSA) to...
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