cs.AI（2024-08-07）

📊 共 17 篇论文 | 🔗 2 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (13 🔗1) 支柱一：机器人控制 (Robot Control) (2) 支柱二：RL算法与架构 (RL & Architecture) (1 🔗1) 支柱六：视频提取与匹配 (Video Extraction) (1)

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

#题目一句话要点标签🔗⭐
1 Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks Optimus-1：混合多模态记忆赋能智能体，擅长长时程任务 large language model multimodal
2 EnJa: Ensemble Jailbreak on Large Language Models 提出EnJa：集成提示级和token级攻击的大语言模型越狱方法 large language model
3 CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases CodexGraph：利用代码图数据库连接大语言模型与代码仓库 large language model ✅
4 Dynamic Code Orchestration: Harnessing the Power of Large Language Models for Adaptive Script Execution 利用大语言模型实现动态代码编排，解决传统编程范式局限性 large language model
5 MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models 提出MaxMind，利用记忆循环网络提升大语言模型在软件自动化工具生成中的生产力 large language model
6 HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection 提出HiQuE，利用层级问题嵌入网络进行多模态抑郁症检测 multimodal
7 Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimization 提出基于大语言模型的基站选址优化框架，提升部署效率并减少人工干预 large language model
8 AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling AcTracer：通过多阶段采样主动测试大型语言模型 large language model
9 Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation 提出RecLoRA，通过终身个性化低秩适配LLM来提升推荐系统性能 large language model
10 Automated Theorem Provers Help Improve Large Language Model Reasoning 利用自动定理证明器提升大语言模型在逻辑推理任务上的性能 large language model
11 Patchview: LLM-Powered Worldbuilding with Generative Dust and Magnet Visualization Patchview：利用生成式尘埃与磁铁可视化，赋能大语言模型的故事世界构建 large language model
12 Exploring the extent of similarities in software failures across industries using LLMs 利用LLM分析跨行业软件故障相似性，为软件安全提供行业洞察 large language model
13 Harnessing the Power of LLMs in Source Code Vulnerability Detection 利用LLM分析LLVM IR以检测源代码漏洞 large language model

🔬 支柱一：机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗⭐
14 PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning PLANRL：结合运动规划与模仿学习，加速强化学习在机器人操作中的应用 manipulation motion planning reinforcement learning
15 MPC-Minimized Secure LLM Inference Marill：通过MPC友好的LLM微调，实现高效安全的LLM推理 MPC large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
16 Anatomical Foundation Models for Brain MRIs 提出AnatCL，利用解剖信息进行脑部MRI的表征学习，并在多种下游任务上取得SOTA。 contrastive learning foundation model ✅

🔬 支柱六：视频提取与匹配 (Video Extraction) (1 篇)

#题目一句话要点标签🔗⭐
17 Digital Avatars: Framework Development and Their Evaluation 提出AI驱动数字形象框架，通过新型提示策略提升拟人化特征 HuMoR large language model

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