『Embodied AI 101』のカバーアート

Embodied AI 101

Embodied AI 101

著者： Shaoqing Tan
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概要

 Stay in the loop on research in AI and physical intelligence.© 2026 Shaoqing Tan
エピソード
  • AI Model Collapse: The Danger of Training on AI-Generated Data

    AI Model Collapse: The Danger of Training on AI-Generated Data
    2026/03/31
    Demonstrated that LLMs trained recursively on AI-generated data suffer model collapse, a degenerative process where they lose grasp of true data distributions. Sparked critical debates on data provenance and the importance of preserving human-generated training data.
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    32 分
  • # High-Level Automated Reasoning with Qwen2.5-7B

    # High-Level Automated Reasoning with Qwen2.5-7B
    2026/03/31
    Qwen2.5-7B achieved 79.6% on MATH benchmark, surpassing GPT-4o, by employing atomic reasoning actions combined with Monte Carlo Tree Search. Demonstrated that strategic reasoning architectures can enable smaller models to outperform much larger ones.
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    28 分
  • Co-Training Large Behavior Models: Multimodal Data for Robot Manipulation

    Co-Training Large Behavior Models: Multimodal Data for Robot Manipulation
    2026/03/31
    Explores data modalities and co-training strategies to enhance large behavior models (foundation models) for improved performance in robot manipulation tasks, supporting end-to-end learning and cross-embodiment generalization.
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    33 分
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