cs.AI（2025-07-05）

📊 共 17 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (13) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱四：生成式动作 (Generative Motion) (1) 支柱一：机器人控制 (Robot Control) (1 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (13 篇)

#题目一句话要点标签🔗⭐
1 Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation 提出MuSiC模型，利用多模态数据和侧面用户解决跨域推荐中的冷启动问题。 large language model multimodal
2 Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling 利用大型语言模型实现CAD自动化：一种基于LLM的3D建模方法 large language model
3 TopoMAS: Large Language Model Driven Topological Materials Multiagent System TopoMAS：大型语言模型驱动的拓扑材料多智能体系统，加速材料发现。 large language model
4 Evaluating the Effectiveness of Large Language Models in Solving Simple Programming Tasks: A User-Centered Study 研究不同交互方式的LLM对高中生编程学习的影响，协同式交互提升效率。 large language model
5 A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models 提出针对大型语言模型中错误信息的主动防御三支柱框架 large language model
6 A Comparative Study of Specialized LLMs as Dense Retrievers 研究领域LLM在稠密检索中的表现，揭示任务特化对检索效果的影响 large language model multimodal
7 Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing 提出基于随机平滑的防御框架，提升LLM驱动的多智能体系统鲁棒性 large language model
8 HAWK: A Hierarchical Workflow Framework for Multi-Agent Collaboration HAWK：一种用于多智能体协作的分层工作流框架，提升跨平台互操作性和资源利用率。 large language model
9 Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG 利用LLM和RAG，重新探索基于字符串的恶意软件家族分类方法 large language model
10 Lyria: A General LLM-Driven Genetic Algorithm Framework for Problem Solving Lyria：一种通用的大语言模型驱动的遗传算法框架，用于解决复杂问题 large language model
11 Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features 利用数据无关特征提升LLM不确定性估计器的泛化能力 large language model
12 We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems 大规模测量MCP生态API使用情况，揭示潜在安全风险并提出权限管理方案。 large language model
13 LLMs model how humans induce logically structured rules 利用大型语言模型模拟人类逻辑规则归纳能力，媲美贝叶斯概率语言模型。 large language model

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

#题目一句话要点标签🔗⭐
14 A Technical Survey of Reinforcement Learning Techniques for Large Language Models 综述：强化学习赋能大语言模型，应对指令遵循、伦理对齐和推理挑战。 reinforcement learning PPO RLHF
15 Enhancing Learning Path Recommendation via Multi-task Learning 提出基于多任务LSTM的学习路径推荐方法，提升个性化学习效果 reinforcement learning deep reinforcement learning

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
16 CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate CortexDebate：面向多智能体辩论的稀疏且均衡的辩论方法 MDM large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
17 Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning 针对无样本持续学习中单任务数据投毒的防御框架 manipulation ✅

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