cs.AI（2023-11-20）

📊 共 12 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (8 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#	题目	一句话要点	标签	🔗	⭐
1	InteraSSort: Interactive Assortment Planning Using Large Language Models	提出InteraSSort以解决零售商的互动商品组合规划问题	large language model
2	Large Language Models and Explainable Law: a Hybrid Methodology	提出混合方法以提升法律系统的可解释性与可访问性	large language model
3	Refactoring Programs Using Large Language Models with Few-Shot Examples	利用大型语言模型进行代码重构以提升程序可维护性	large language model
4	Causal Structure Learning Supervised by Large Language Model	提出ILS-CSL框架以解决因果结构学习中的数据稀疏问题	large language model	✅
5	Web News Timeline Generation with Extended Task Prompting	提出扩展任务提示以解决新闻时间线生成问题	large language model
6	Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT	比较SVM、LSTM与ChatGPT在需求分类中的表现	large language model
7	GPT in Data Science: A Practical Exploration of Model Selection	提出GPT-4模型选择方法以提升数据科学决策透明度	large language model
8	Meta Prompting for AI Systems	提出Meta Prompting框架以提升大语言模型推理能力	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	🔗	⭐
9	Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars	提出Nav-Q以解决自驾车无碰撞导航问题	reinforcement learning deep reinforcement learning DRL
10	ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning	提出ADAPTER-RL以解决深度强化学习适应性不足问题	reinforcement learning deep reinforcement learning DRL

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
11	Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication	提出基于数字双胞胎的用户中心边缘持续学习以优化ISAC系统	human motion

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
12	Analyzing Emissions and Energy Efficiency at Unsignalized Real-world Intersections Under Mixed Traffic Control	提出无信号交叉口的混合交通控制策略以降低排放	penetration

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