cs.AI（2025-04-24）

📊 共 15 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (11) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱一：机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗⭐
1 On the workflow, opportunities and challenges of developing foundation model in geophysics 综述地球物理领域基础模型开发流程，解决数据特性带来的挑战，提供实践指导。 foundation model multimodal
2 INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models INSIGHT：弥合大语言模型时代师生差距的AI辅助教学系统 large language model
3 Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code 利用大语言模型摘要进行源代码主题建模，提升代码理解能力 large language model
4 Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation 利用大型语言模型实现领域特定本体的自动生成与泛化 large language model
5 Automatically Generating Rules of Malicious Software Packages via Large Language Model 提出RuleLLM，利用大语言模型自动生成恶意软件包的检测规则。 large language model
6 Auditing the Ethical Logic of Generative AI Models 提出一种五维审计模型，用于评估生成式AI模型的伦理逻辑 large language model chain-of-thought
7 Evaluating Machine Expertise: How Graduate Students Develop Frameworks for Assessing GenAI Content 研究生如何评估GenAI内容：构建评估框架的影响因素研究 large language model
8 Toward Personalizing Quantum Computing Education: An Evolutionary LLM-Powered Approach 提出基于演化LLM的个性化量子计算教学助手 large language model
9 BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts BadMoE：通过优化路由触发器和感染休眠专家，对MoE LLM进行后门攻击 large language model
10 Towards Machine-Generated Code for the Resolution of User Intentions 利用LLM生成代码解决用户意图：探索人机混合工作流新范式 large language model
11 AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining 利用对象中心过程挖掘分析AI赋能的保险理赔流程自动化 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 Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning 提出CoGA，利用预训练视觉-语言模型生成可负担行动代码，提升GUI界面强化学习效率。 reinforcement learning behavior cloning affordance
13 Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning 提出基于多智能体分层强化学习的特征子空间探索方法HRLFS，提升下游机器学习任务性能。 reinforcement learning large language model
14 The Role of Open-Source LLMs in Shaping the Future of GeoAI 开放源代码LLM赋能GeoAI：促进地理空间数据处理、分析与决策支持 reinforcement learning large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
15 Exploring Context-aware and LLM-driven Locomotion for Immersive Virtual Reality 提出基于上下文感知和LLM驱动的VR自然语言免手部移动方案 locomotion large language model

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