cs.AI(2025-10-09)

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

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

#题目一句话要点标签🔗
1 Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models 提出测试时匹配(TTM)算法,提升多模态模型在组合推理任务上的性能 large language model multimodal
2 How to Teach Large Multimodal Models New Skills 提出两种高效微调策略,提升大型多模态模型新技能学习能力并缓解灾难性遗忘 multimodal

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
3 Unified World Models: Memory-Augmented Planning and Foresight for Visual Navigation UniWM:统一的、记忆增强的世界模型,用于视觉导航中的规划与预测 world model egocentric multimodal
4 Curriculum Learning with Synthetic Data for Enhanced Pulmonary Nodule Detection in Chest Radiographs 结合课程学习与合成数据增强,提升胸部X光片肺结节检测性能 curriculum learning

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