cs.AI（2024-06-05）
📊 共 6 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
支柱九：具身大模型 (Embodied Foundation Models) (3)
支柱二：RL算法与架构 (RL & Architecture) (2 🔗1)
支柱一：机器人控制 (Robot Control) (1)
🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task Planning | CLMASP：耦合LLM与ASP实现机器人任务规划，显著提升可执行率 | large language model | ||
| 2 | The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games | 提出情感驱动的LLM行为建模框架，用于合作与博弈场景决策分析 | large language model | ||
| 3 | CATCODER: Repository-Level Code Generation with Relevant Code and Type Context | CatCoder：通过融合相关代码和类型上下文，提升仓库级代码生成效果 | 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 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Audio Mamba: Bidirectional State Space Model for Audio Representation Learning | 提出Audio Mamba (AuM)，一种用于音频表征学习的无自注意力双向状态空间模型 | Mamba SSM state space model | ||
| 5 | Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning | 提出MUSE框架，通过脑电信号实现零样本图像识别，提升脑机接口性能。 | contrastive learning multimodal | ✅ |
🔬 支柱一：机器人控制 (Robot Control) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric | 利用Block-Toeplitz增广协方差矩阵和Siegel度量提升运动想象BCI分类的计算效率 | manipulation |