robotic

【论文速递】2025年第44周(Oct-26-Nov-01)(Robotics/Embodied AI/LLM)中文使用 googletrans 翻译，翻译不对的地方以英文为准Modern LLMs are trained to “think” primarily via explicit text generation, such as chain-of-thought (CoT), which defers reasoning to post-training and under-leverages pre-training data. We present and open-source Ouro, name

【论文速递】2025年第43周(Oct-19-25)(Robotics/Embodied AI/LLM)中文使用 googletrans 翻译，翻译不对的地方以英文为准Test-time scaling seeks to improve the reasoning performance of large language models (LLMs) by adding computational resources. A prevalent approach within the field is sampling-based test-time scaling methods, which enhanc

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