cs.AI(2025-07-19)

📊 共 8 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (7 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Automated Safety Evaluations Across 20 Large Language Models: The Aymara LLM Risk and Responsibility Matrix Aymara AI:自动化评估LLM安全风险,揭示模型在隐私和偏见等领域的不足。 large language model
2 Large Language Models Assisting Ontology Evaluation OE-Assist框架:利用大型语言模型辅助本体评估,提升效率并降低成本。 large language model
3 RATE: An LLM-Powered Retrieval Augmented Generation Technology-Extraction Pipeline 提出RATE:一种基于LLM的检索增强技术提取流程,用于自动化科技情报分析。 large language model
4 Towards Urban Planing AI Agent in the Age of Agentic AI 面向Agentic AI时代,探索城市规划AI智能体,弥合生成式AI与领域工具鸿沟 large language model
5 VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning VTarbel:针对检测器增强的垂直联邦学习的最小知识目标标签攻击 multimodal
6 MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning MagicGUI:基于可扩展数据管道和强化微调的移动GUI基础代理 multimodal
7 Amico: An Event-Driven Modular Framework for Persistent and Embedded Autonomy Amico:面向持久和嵌入式自主系统的事件驱动模块化框架 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🔗
8 Statistical and Algorithmic Foundations of Reinforcement Learning 综述强化学习的统计与算法基础,关注样本效率与计算效率 reinforcement learning offline RL

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