cs.AI(2024-03-22)

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支柱九:具身大模型 (Embodied Foundation Models) (11 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1) 支柱二:RL算法与架构 (RL & Architecture) (1)

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

#题目一句话要点标签🔗
1 Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognition 提出音视频自闭症行为识别以解决社交行为识别不足问题 large language model foundation model multimodal
2 Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges 基于提示设计策略的ChatGPT助力群体决策 large language model
3 Comprehensive Lipidomic Automation Workflow using Large Language Models 提出综合脂质组学自动化工作流程以解决数据注释难题 large language model
4 A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning 提出蓝图辩论框架以解决多模态推理中的意见简化问题 multimodal
5 Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation 提出基于大语言模型的BDD验收测试自动生成方法 large language model
6 Content Knowledge Identification with Multi-Agent Large Language Models (LLMs) 提出基于多代理大语言模型的框架以解决教师数学内容知识识别问题 large language model
7 Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs 评估GPT-4V在胸部X光片放射学发现检测中的应用 large language model
8 Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers 比较ChatGPT与StackOverflow代码的安全漏洞以提升开发者意识 large language model
9 Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors 研究教育工作者对生成性人工智能的认知与态度 large language model
10 Sphere Neural-Networks for Rational Reasoning 提出球面神经网络以解决理性推理问题 large language model
11 CACA Agent: Capability Collaboration based AI Agent 提出CACA Agent以解决AI代理扩展性不足问题 large language model

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
12 SymboSLAM: Semantic Map Generation in a Multi-Agent System 提出SymboSLAM以解决环境类型分类的可解释性问题 semantic map

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

#题目一句话要点标签🔗
13 Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation 提出双边非对称图对比学习以解决推荐系统中的节点关系密度问题 contrastive learning

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