cs.AI(2025-06-27)

📊 共 15 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (9 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (4) 支柱一:机器人控制 (Robot Control) (1) 支柱四:生成式动作 (Generative Motion) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (9 篇)

#题目一句话要点标签🔗
1 Concept-Level AI for Telecom: Moving Beyond Large Language Models 提出大概念模型以解决电信领域的复杂管理问题 large language model multimodal
2 Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics 利用大型语言模型建议贝叶斯统计中的信息性先验分布 large language model
3 A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety 提出开放性与安全性结合的AI研究议程以应对AI安全挑战 foundation model multimodal
4 Bootstrapping Human-Like Planning via LLMs 提出基于大语言模型的任务规划方法以提升机器人任务指定能力 large language model
5 Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists 提出Image2Net以解决模拟电路图转网表问题 large language model
6 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements 提出自动化LLM速度竞赛基准以解决科学重现性问题 large language model
7 A Practical Approach to Power Saving in Hearables Using Sub-Nyquist Sampling with Bandwidth Extension 提出SUBARU以解决耳机低功耗处理问题 multimodal
8 Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education 提出大学政策适应生成性人工智能以解决教育公平与诚信问题 large language model
9 ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation 提出ARAG框架以解决个性化推荐中的用户偏好捕捉问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
10 Embodied AI Agents: Modeling the World 提出世界模型以增强具身AI代理的环境理解与用户协作 world model embodied AI multimodal
11 Universal Retrieval for Multimodal Trajectory Modeling 提出多模态轨迹检索以解决轨迹数据建模挑战 contrastive learning multimodal
12 HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching 提出HazeMatching以解决光学显微镜图像去雾问题 flow matching
13 LeanConjecturer: Automatic Generation of Mathematical Conjectures for Theorem Proving 提出LeanConjecturer以解决数学猜想生成问题 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🔗
14 UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields 提出UnMix-NeRF以解决材料感知不足问题 manipulation NeRF neural radiance field

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
15 Query as Test: An Intelligent Driving Test and Data Storage Method for Integrated Cockpit-Vehicle-Road Scenarios 提出'查询即测试'以解决智能驾驶测试数据碎片化问题 penetration large language model multimodal

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