cs.AI（2023-10-30）

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支柱二：RL算法与架构 (RL & Architecture) (4 🔗1) 支柱九：具身大模型 (Embodied Foundation Models) (2)

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
1 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space 提出FOCAL框架以解决多模态时间序列信号特征提取问题 contrastive learning multimodal ✅
2 Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning 提出改进的贝叶斯后悔界限以优化强化学习中的汤普森采样 reinforcement learning
3 A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles 提出安全偏好学习方法以解决自动驾驶个性化问题 preference learning
4 Concept Alignment as a Prerequisite for Value Alignment 提出概念对齐以解决价值对齐问题 reinforcement learning inverse reinforcement learning

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

#题目一句话要点标签🔗⭐
5 Adversarial Attacks and Defenses in Large Language Models: Old and New Threats 提出改进评估方法以应对大型语言模型的对抗攻击 large language model
6 Leveraging generative artificial intelligence to simulate student learning behavior 利用生成性人工智能模拟学生学习行为以提升教育效果 large language model

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