cs.AI（2024-01-23）
📊 共 14 篇论文
🎯 兴趣领域导航
支柱九：具身大模型 (Embodied Foundation Models) (7)
支柱二：RL算法与架构 (RL & Architecture) (5)
支柱一：机器人控制 (Robot Control) (2)
🔬 支柱九：具身大模型 (Embodied Foundation Models) (7 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | XAI for All: Can Large Language Models Simplify Explainable AI? | 提出x-[plAIn]以解决XAI可解释性不足问题 | large language model | ||
| 2 | How well can a large language model explain business processes as perceived by users? | 提出SAX4BPM框架以提升业务过程的可解释性 | large language model | ||
| 3 | Evaluation of large language models for assessing code maintainability | 利用大语言模型评估代码可维护性问题 | large language model | ||
| 4 | Can Large Language Models Write Parallel Code? | 提出ParEval基准以评估大语言模型生成并行代码的能力 | large language model | ||
| 5 | Red Teaming Visual Language Models | 提出RTVLM数据集以评估视觉语言模型的安全性与公平性 | large language model multimodal | ||
| 6 | Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition | 提出增强PDF结构识别以解决专业知识问答系统的局限性 | large language model foundation model | ||
| 7 | ChatGraph: Chat with Your Graphs | 提出ChatGraph以解决图数据交互难题 | large language model |
🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control | 提出语言引导的紧急通信框架以解决多智能体导航问题 | reinforcement learning deep reinforcement learning distillation | ||
| 9 | Towards Socially and Morally Aware RL agent: Reward Design With LLM | 提出利用大语言模型设计奖励函数以提升RL代理的社会道德意识 | reinforcement learning reward design large language model | ||
| 10 | Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management | 提出DDMAC-CTDE框架以优化交通基础设施管理 | reinforcement learning deep reinforcement learning DRL | ||
| 11 | Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning | 提出PetriRL框架以解决作业车间调度问题 | reinforcement learning deep reinforcement learning DRL | ||
| 12 | Active Inference as a Model of Agency | 提出主动推理模型以解决代理行为的探索与利用问题 | reinforcement learning world model world models |
🔬 支柱一：机器人控制 (Robot Control) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 13 | CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data | 提出CIMGEN以解决有限数据下的图像操控问题 | manipulation semantic map | ||
| 14 | Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning | 提出因果双重模拟建模以优化强化学习中的状态抽象 | manipulation reinforcement learning |