cs.AI（2024-07-19）

📊 共 8 篇论文

🎯 兴趣领域导航

#	题目	一句话要点	标签
1	KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models	提出KoMA框架，利用知识驱动的多智能体系统解决自动驾驶复杂场景决策问题	large language model
2	LLAssist: Simple Tools for Automating Literature Review Using Large Language Models	LLAssist：利用大型语言模型自动化文献综述的简单工具	large language model
3	The Vision of Autonomic Computing: Can LLMs Make It a Reality?	提出基于LLM的多智能体框架，实现微服务管理的自主计算愿景	large language model
4	Hyper-Heuristics Can Profit From Global Variation Operators	全局变异算子提升超启发式算法在多模态优化问题上的性能	multimodal
5	Integrating Artificial Intelligence into Operating Systems: A Survey on Techniques, Applications, and Future Directions	综述AI与操作系统融合的技术、应用与未来方向，应对异构硬件和动态工作负载挑战。	large language model

#	题目	一句话要点	标签
6	Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent	提出一种可解释的后验投资组合管理金融策略，提升深度强化学习应用透明度。	reinforcement learning deep reinforcement learning DRL
7	Improving Representation of High-frequency Components for Medical Visual Foundation Models	提出Frepa，增强医学视觉基础模型对高频信息的表征能力，提升下游任务性能。	masked autoencoder foundation model
8	Coverage-aware and Reinforcement Learning Using Multi-agent Approach for HD Map QoS in a Realistic Environment	提出基于覆盖感知和多智能体强化学习的HD地图QoS优化方法	reinforcement learning