cs.AI(2025-01-26)

📊 共 7 篇论文 | 🔗 2 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (5 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (5 篇)

#题目一句话要点标签🔗
1 Regulating Multifunctionality 针对多功能AI监管难题,提出基于管理的风险控制与动态监管策略 foundation model
2 Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach 提出基于图Resfusion模型的区块链使能移动具身AI网络高效可信区块传播方法 embodied AI
3 Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion 提出基于扩散模型的层级负采样方法,提升多模态知识图谱补全效果 multimodal
4 Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval 提出Diffusion Augmented Retrieval (DAR),无需微调即可实现交互式文本到图像检索。 large language model multimodal
5 Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning 从雪球误差到正确推理概率:重新思考外部慢思考机制 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🔗
6 Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning 提出一种无需专家知识的多智能体强化学习在线迁移学习方法 reinforcement learning DRL
7 Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination 提出一种融合通信与协作的去中心化多智能体强化学习框架,解决动态环境下的复杂任务。 reinforcement learning

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