cs.AI(2025-12-24)

📊 共 10 篇论文

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支柱九:具身大模型 (Embodied Foundation Models) (6) 支柱一:机器人控制 (Robot Control) (2) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (6 篇)

#题目一句话要点标签🔗
1 Beyond Context: Large Language Models Failure to Grasp Users Intent 大型语言模型未能理解用户意图,易被恶意利用绕过安全机制 large language model
2 Agentic Explainable Artificial Intelligence (Agentic XAI) Approach To Explore Better Explanation 提出Agentic XAI框架,结合SHAP与多模态LLM迭代优化解释质量,应用于农业推荐系统。 large language model multimodal
3 RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic RoboSafe:通过可执行安全逻辑保障具身智能体的安全 multimodal
4 Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Consulting, Data Analyst, and Management Tasks 量化LLM规模对经济生产力的影响:咨询、数据分析与管理任务的实验证据 large language model
5 Casting a SPELL: Sentence Pairing Exploration for LLM Limitation-breaking SPELL:通过句子配对探索LLM在恶意代码生成中的安全漏洞 large language model
6 Mesh-Attention: A New Communication-Efficient Distributed Attention with Improved Data Locality 提出Mesh-Attention,通过优化数据局部性提升分布式Attention的通信效率,加速LLM训练。 large language model

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
7 Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Prediction 提出基于具身AI的IoMT边缘计算框架,优化无人机轨迹和任务卸载,最小化任务完成时间。 trajectory optimization reinforcement learning deep reinforcement learning
8 One Tool Is Enough: Reinforcement Learning for Repository-Level LLM Agents RepoNavigator:基于强化学习的单工具LLM智能体,用于仓库级代码定位 manipulation reinforcement learning distillation

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
9 Policy-Conditioned Policies for Multi-Agent Task Solving 提出基于策略条件策略的程序化迭代最佳响应算法,解决多智能体任务中的策略适应性问题。 reinforcement learning deep reinforcement learning large language model
10 The Silent Scholar Problem: A Probabilistic Framework for Breaking Epistemic Asymmetry in LLM Agents 提出概率框架以解决LLM代理的知识不对称问题 reinforcement learning RLHF

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