cs.AI(2026-09-14)

📊 共 5 篇论文

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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱一:机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗⭐
1 When Should a World Model Move? Loss-Conditioned State Execution 提出损失条件状态执行以优化世界模型的状态更新 world model world models
2 Evaluation Metrics for Safe Reinforcement Learning 提出安全强化学习评估指标以解决现有方法不足问题 reinforcement learning

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

#题目一句话要点标签🔗⭐
3 Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details 提出数据故事与可解释机器学习结合的方法以提升AI决策的可理解性 large language model
4 SpliTEE: Improving LLM Inference on Trusted Hardware with Differentially Private GPU Outsourcing 提出SpliTEE以提高可信硬件上LLM推理的隐私保护能力 large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
5 When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control 提出后门攻击方法以破解潜在世界模型的控制系统 MPC world model world models

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