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人工智能

83 篇 · 资讯流
  2. arXiv cs.AI（人工智能）

    Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries

    Reasoning over long document contexts remains a challenge for large language models (LLMs). Standard retrieval methods a

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  4. arXiv cs.AI（人工智能）

    Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion

    Recent advances in robot learning have driven rapid progress in humanoid control, enabling increasingly agile behaviors

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  6. arXiv cs.AI（人工智能）

    ChunkAct: Action Chunking for Agentic Robotics

    Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, moti

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  7. arXiv cs.AI（人工智能）

    UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models

    World models (WMs) and world-action models (WAMs) focus on future world prediction and executable action generation, res

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  9. arXiv cs.RO（机器人）

    Thinker-WM: A Unified World Model with Shared Multimodal Representations for Embodied Intelligence

    World models have emerged as a promising paradigm for embodied AI, yet existing systems often remain fragmented in the m

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  10. arXiv cs.RO（机器人）

    Let the Mind Conceive, Let the Hand Achieve: Following Multimodal Instructions for Long-Horizon Robotic Manipulation

    A robot following a multi-step instruction needs to act on the right objects in the right order, even as the scene chang

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  11. arXiv cs.DB（数据库）

    RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions

    Foundation models for tables and relational databases are increasingly used for predictive tasks across various scientif

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  13. arXiv cs.RO（机器人）

    JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents

    Embodied agents must translate multimodal observations and user requests into executable actions while adapting to produ

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  14. arXiv cs.AI（人工智能）

    DVD: Dynamic Vector Decoding for Efficient MLLM-based Perception

    Multimodal large language models have made remarkable progress in bridging vision and language, facilitating various per

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  16. arXiv cs.DB（数据库）

    Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows

    Context: Large language model (LLM) agents are increasingly used as software and data-engineering assistants, yet eviden

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