cs.AI（2025-07-18）

📊 共 20 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (14 🔗1) 支柱一：机器人控制 (Robot Control) (2) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱四：生成式动作 (Generative Motion) (1) 支柱三：空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (14 篇)

#题目一句话要点标签🔗⭐
1 Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models 研究代码上下文和提示策略对LLM自动生成单元测试的影响 large language model chain-of-thought ✅
2 Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques 综述性研究：探讨大型语言模型在网络安全中的应用、漏洞与防御技术 large language model
3 Automated Interpretation of Non-Destructive Evaluation Contour Maps Using Large Language Models for Bridge Condition Assessment 利用大型语言模型自动解读无损检测轮廓图，辅助桥梁状况评估 large language model
4 KROMA: Ontology Matching with Knowledge Retrieval and Large Language Models KROMA：利用知识检索和大型语言模型进行本体匹配 large language model
5 Geometry of Knowledge Allows Extending Diversity Boundaries of Large Language Models 提出基于知识几何的LLM多样性扩展框架，提升发散性思维能力 large language model
6 WebGuard: Building a Generalizable Guardrail for Web Agents WebGuard：构建Web Agent的通用安全防护机制 large language model
7 ADEPTS: A Capability Framework for Human-Centered Agent Design ADEPTS：一种以人为本的智能体设计能力框架，弥合技术与用户体验鸿沟 large language model
8 Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms SCHEMORA：利用LLM进行多阶段推荐和元数据增强的模式匹配框架 large language model
9 ProofCompass: Enhancing Specialized Provers with LLM Guidance ProofCompass：利用LLM指导，高效提升专业定理证明器性能 large language model
10 Manimator: Transforming Research Papers into Visual Explanations Manimator：利用大语言模型将研究论文转化为可视化解释动画 large language model
11 DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation DREAMS：基于密度泛函理论的智能体材料模拟研究引擎 large language model
12 Preprint: Poster: Did I Just Browse A Website Written by LLMs? 提出一种高可靠性网站分类pipeline，用于检测LLM主导生成的内容 large language model
13 RAG-based Architectures for Drug Side Effect Retrieval in LLMs 提出GraphRAG架构，提升LLM在药物副作用检索中的准确性 large language model
14 DailyLLM: Context-Aware Activity Log Generation Using Multi-Modal Sensors and LLMs DailyLLM：利用多模态传感器和LLM生成上下文感知的活动日志 large language model

🔬 支柱一：机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗⭐
15 Fiduciary AI for the Future of Brain-Technology Interactions 提出将信托义务嵌入脑机接口，保障用户认知自由和权益。 manipulation foundation model
16 Towards Constraint Temporal Answer Set Programming 提出一种基于约束的时间Answer Set Programming方法，用于解决动态系统推理难题。 manipulation

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

#题目一句话要点标签🔗⭐
17 CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning CUDA-L1：利用对比强化学习提升CUDA代码优化 reinforcement learning
18 Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments 提出因果知识迁移框架，解决动态环境中多智能体强化学习的知识共享与适应问题 reinforcement learning

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
19 Generative AI-Driven High-Fidelity Human Motion Simulation 提出G-AI-HMS，利用生成式AI提升工业任务中人体运动模拟的真实度。 text-to-motion MotionGPT large language model

🔬 支柱三：空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗⭐
20 Bridging MOOCs, Smart Teaching, and AI: A Decade of Evolution Toward a Unified Pedagogy 融合MOOC、智慧教学与AI：提出统一教学框架以提升高等教育 affordance

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