cs.AI（2023-12-09）

📊 共 10 篇论文

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (6) 支柱一：机器人控制 (Robot Control) (3) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Redefining Developer Assistance: Through Large Language Models in Software Ecosystem	提出DevAssistLlama：一种面向软件开发领域，通过指令微调的大语言模型。	large language model
2	Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis	系统分析大型语言模型在博弈论中的理性程度，揭示其与人类的差距	large language model
3	Image and Data Mining in Reticular Chemistry Using GPT-4V	利用GPT-4V从图像中提取MOF数据，加速多孔材料研究	large language model
4	Context Tuning for Retrieval Augmented Generation	提出Context Tuning，增强RAG上下文检索，提升工具检索和规划生成。	large language model
5	GPT-4 and Safety Case Generation: An Exploratory Analysis	探索GPT-4在安全案例生成中的应用，评估其对GSN的理解与生成能力	large language model
6	KEN: Kernel Extensions using Natural Language	KEN：利用自然语言扩展内核，简化eBPF程序开发。	large language model

🔬 支柱一：机器人控制 (Robot Control) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
7	Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning	提出SYRELM，利用小规模LM和符号求解器实现参数高效的算术推理	manipulation reinforcement learning large language model
8	Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation	提出MS-Human-700模型与分层强化学习算法，实现全身肌肉骨骼系统建模与运动控制	locomotion reinforcement learning deep reinforcement learning
9	Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains	提出基于安全多方计算的隐私保护多智能体强化学习方法，应用于供应链场景。	MPC reinforcement learning

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

#	题目	一句话要点	标签	🔗	⭐
10	Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation	提出基于装饰关系校正和LLAMA 2.0标注的电商属性抽取框架，提升用户体验。	representation learning large language model

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