cs.LG(2025-09-02)

📊 共 3 篇论文

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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 Scale, Don't Fine-tune: Guiding Multimodal LLMs for Efficient Visual Place Recognition at Test-Time 提出测试时缩放框架,引导多模态LLM实现高效视觉定位,无需微调。 large language model foundation model multimodal
2 DynaGuard: A Dynamic Guardian Model With User-Defined Policies 提出DynaGuard动态守护模型,通过用户自定义策略提升AI应用安全性。 chain-of-thought

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

#题目一句话要点标签🔗
3 Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control 提出基于强化学习区域调度的共享自动驾驶车辆半按需公交接驳服务 reinforcement learning multimodal

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