cs.AI（2025-03-04）

📊 共 12 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (8 🔗1) 支柱七：动作重定向 (Motion Retargeting) (1) 支柱八：物理动画 (Physics-based Animation) (1) 支柱二：RL算法与架构 (RL & Architecture) (1) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗⭐
1 A Multimodal Symphony: Integrating Taste and Sound through Generative AI 利用生成式AI融合味觉与听觉：提出基于MusicGEN微调的味觉音乐生成模型 multimodal
2 Multimodal AI predicts clinical outcomes of drug combinations from preclinical data Madrigal：多模态AI模型，利用临床前数据预测药物组合的临床结果 multimodal
3 The Effectiveness of Large Language Models in Transforming Unstructured Text to Standardized Formats 利用大型语言模型将非结构化文本高效转换为标准化格式，实现突破性性能。 large language model
4 Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment 通过监督式微调与人类对齐判断，提升AI处理异常情况的能力 large language model chain-of-thought
5 FlexInfer: Breaking Memory Constraint via Flexible and Efficient Offloading for On-Device LLM Inference FlexInfer：通过灵活高效的卸载突破设备端LLM推理的内存限制 large language model
6 Trust, Experience, and Innovation: Key Factors Shaping American Attitudes About AI 调查揭示美国公众对AI的态度受信任度、经验和创新观念等多重因素影响 large language model
7 MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality 提出MindBridge，通过记忆模态实现可扩展的跨模型知识编辑 large language model ✅
8 Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models Audio-Reasoner：通过大规模音频语言模型提升音频推理能力 multimodal

🔬 支柱七：动作重定向 (Motion Retargeting) (1 篇)

#题目一句话要点标签🔗⭐
9 Evaluation of Architectural Synthesis Using Generative AI 评估生成式AI在建筑设计合成中的应用潜力，探索GPT-4o和Claude 3.5的性能。 spatial relationship multimodal

🔬 支柱八：物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗⭐
10 Radar Pulse Deinterleaving with Transformer Based Deep Metric Learning 提出基于Transformer深度度量学习的雷达脉冲解交错方法，有效分离未知数量的雷达发射源信号。 PULSE

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

#题目一句话要点标签🔗⭐
11 Exploring Causality for HRI: A Case Study on Robotic Mental Well-being Coaching 探索因果关系在人机交互中的应用：以机器人心理健康辅导为例 reinforcement learning multimodal

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
12 Will Neural Scaling Laws Activate Jevons' Paradox in AI Labor Markets? A Time-Varying Elasticity of Substitution (VES) Analysis 提出时间变弹性替代分析以探讨AI劳动市场的杰文斯悖论 penetration

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