cs.AI(2023-10-14)

📊 共 8 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) (6 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2)

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

#题目一句话要点标签🔗
1 A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models 提出Setwise方法以提高零-shot文档排名的效率与效果 large language model
2 Enhancing Binary Code Comment Quality Classification: Integrating Generative AI for Improved Accuracy 通过生成式AI提升二进制代码注释质量分类模型的准确性 large language model
3 Penetrative AI: Making LLMs Comprehend the Physical World 提出穿透式人工智能以增强大语言模型对物理世界的理解能力 large language model
4 Leveraging Generative AI: Improving Software Metadata Classification with Generated Code-Comment Pairs 利用生成式AI提升软件元数据分类的有效性 large language model
5 A study of the impact of generative AI-based data augmentation on software metadata classification 提出基于生成式AI的数据增强方法以提升软件元数据分类效果 large language model
6 Software Metadata Classification based on Generative Artificial Intelligence 基于生成式人工智能的二进制代码注释质量分类方法 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🔗
7 LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents 提出LgTS以解决强化学习代理的动态任务采样问题 reinforcement learning teacher-student large language model
8 Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches 提出数据驱动的MAC协议以应对6G系统的动态任务 reinforcement learning deep reinforcement learning large language model

⬅️ 返回 cs.AI 首页 · 🏠 返回主页