cs.AI（2024-10-31）

📊 共 15 篇论文 | 🔗 3 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (11 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (3 🔗1) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#题目一句话要点标签🔗⭐
1 Using Large Language Models for a standard assessment mapping for sustainable communities 利用大型语言模型实现可持续社区标准评估映射，提升城市规划效率 large language model
2 Leveraging Large Language Models for Code Translation and Software Development in Scientific Computing 利用大型语言模型进行科学计算中的代码翻译和软件开发 large language model
3 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs 提出Plan-on-Graph，解决KG增强LLM的自适应规划与纠错问题 large language model
4 Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models 提出可迁移且隐蔽的集成攻击框架，用于破解大型语言模型 large language model
5 ALISE: Accelerating Large Language Model Serving with Speculative Scheduling ALISE：通过推测调度加速大型语言模型服务 large language model
6 AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents AndroidLab：用于训练和系统评估Android自主代理的框架 large language model multimodal ✅
7 Generative AI for Accessible and Inclusive Extended Reality 探讨生成式AI在增强扩展现实环境可访问性和包容性方面的潜力与挑战 foundation model multimodal
8 TurtleBench: A Visual Programming Benchmark in Turtle Geometry 提出TurtleBench：一个基于Turtle几何的视觉编程评测基准 multimodal ✅
9 Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and Analysis 提出基于LLM的多智能体农田数据管理分析协同系统，实现农业数据处理流程的自动化。 large language model
10 The NPU-HWC System for the ISCSLP 2024 Inspirational and Convincing Audio Generation Challenge NPU-HWC系统：基于Single-Codec和LLM的激励性语音与背景音生成 large language model
11 Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis 提出自动化框架，用于量子软件中不稳定测试的检测与根因分析 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
12 RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner RL-STaR：为自学习推理器提供强化学习框架的理论分析 reinforcement learning large language model chain-of-thought
13 Towards Reliable Alignment: Uncertainty-aware RLHF 提出不确定性感知的RLHF方法，提升语言模型对齐的可靠性 reinforcement learning RLHF large language model
14 Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware 提出Gadget强化学习，解决真实量子硬件上的复杂量子问题 reinforcement learning ✅

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
15 ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing 提出ADAPT框架，利用博弈论和神经符号方法实现AI医疗基础设施的自适应渗透测试。 penetration

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