cs.AI(2023-12-17)

📊 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) (5) 支柱二:RL算法与架构 (RL & Architecture) (2 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)

#题目一句话要点标签🔗
1 A Survey of Reasoning with Foundation Models 综述性论文:探索大型语言模型推理能力及其在通用人工智能中的应用 large language model foundation model multimodal
2 LLM-Twin: Mini-Giant Model-driven Beyond 5G Digital Twin Networking Framework with Semantic Secure Communication and Computation 提出LLM-Twin框架,利用LLM赋能的数字孪生网络,实现高效、安全的语义通信与计算。 large language model multimodal
3 Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis 利用跨模态有序网络分析揭示AI辅助课堂中有效的教师实践 multimodal
4 Benchmarks for Physical Reasoning AI 提出物理推理AI的综合基准测试框架,促进通用人工智能发展 generalist agent
5 Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools 对比ChatGPT与Pynguin,评估生成式AI在Python单元测试用例自动生成中的性能。 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
6 Deep-Dispatch: A Deep Reinforcement Learning-Based Vehicle Dispatch Algorithm for Advanced Air Mobility 提出基于深度强化学习的Deep-Dispatch算法,解决高级空中交通中电动垂直起降飞行器的调度问题。 reinforcement learning deep reinforcement learning
7 SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter SeGA:利用偏好感知自对比学习和提示,用于Twitter上的异常用户检测 contrastive learning 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🔗
8 Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming 利用ChatGPT为CS1课程Java编程作业提供自动反馈,提升学生学习体验。 affordance large language model

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