cs.AI(2023-12-25)

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支柱九:具身大模型 (Embodied Foundation Models) (4 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1)

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

#题目一句话要点标签🔗
1 Large Language Models are Not Stable Recommender Systems 提出STELLA框架,解决大语言模型推荐系统中的位置偏差问题。 large language model
2 Unlocking the Potential of Large Language Models for Explainable Recommendations LLMXRec:利用大语言模型提升可解释推荐效果,实现更优解释生成 large language model
3 A graph-based multimodal framework to predict gentrification 提出基于图的多模态深度学习框架,预测城市社区贵族化现象。 multimodal
4 Instruction Fusion: Advancing Prompt Evolution through Hybridization Instruction Fusion:通过混合指令提升代码大语言模型的Prompt进化 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🔗
5 Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation 提出STI-HRL框架,利用超图表示和分层强化学习建模人类移动时空交互。 reinforcement learning

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