cs.AI(2024-08-24)

📊 共 3 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
1 Uncovering Biases with Reflective Large Language Models 提出反射LLM对话框架RLDF,用于发现并纠正人类标注数据中的偏差。 large language model
2 Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results Prompt-Matcher:利用大模型降低模式匹配结果的不确定性 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
3 Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double Dynamics 提出SoM增强的ISAC预编码以解决车联网双动态问题 reinforcement learning deep reinforcement learning DRL

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