cs.AI(2023-12-26)

📊 共 6 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (4) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (4 篇)

#题目一句话要点标签🔗
1 LLM-SAP: Large Language Models Situational Awareness Based Planning LLM-SAP:基于大语言模型情境感知规划,提升动态环境决策能力 large language model
2 Adaptive In-Context Learning with Large Language Models for Bundle Generation 提出自适应上下文学习以解决固定大小捆绑生成问题 large language model
3 LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing 提出LLM-GDO框架,利用用户自定义Prompt实现可靠的数据处理 large language model
4 A Prompt Learning Framework for Source Code Summarization 提出PromptCS框架,通过训练prompt agent为代码摘要生成连续提示,提升大语言模型性能。 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🔗
5 LLMLight: Large Language Models as Traffic Signal Control Agents LLMLight:利用大语言模型作为交通信号控制智能体,提升城市交通管理效率。 reinforcement learning large language model
6 Adaptive Kalman-based hybrid car following strategy using TD3 and CACC 提出基于自适应卡尔曼滤波的混合跟车策略,提升混合交通流中自动驾驶安全性。 reinforcement learning deep reinforcement learning TD3

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