cs.AI（2024-05-21）

📊 共 15 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (8) 支柱二：RL算法与架构 (RL & Architecture) (6 🔗1) 支柱一：机器人控制 (Robot Control) (1)

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

#题目一句话要点标签🔗⭐
1 The Role of Emotions in Informational Support Question-Response Pairs in Online Health Communities: A Multimodal Deep Learning Approach 提出多模态深度学习方法，分析在线健康社区中情感对信息支持问答的影响 multimodal
2 PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 提出PathOCL以解决OCL生成中的上下文限制问题 large language model foundation model
3 AI in Manufacturing: Market Analysis and Opportunities 分析AI在制造业的应用与市场，聚焦人机交互与生成式AI的潜力 large language model
4 LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages 提出Mamo基准，评估LLM在数学建模中自然语言与数学语言的桥接能力 large language model
5 Panmodal Information Interaction 提出泛模态信息交互框架，旨在融合多种信息交互方式以提升用户体验。 multimodal
6 Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection 提出DweW和DweA两种策略，增强预训练新闻推荐模型对用户停留时间的鲁棒性，提升推荐质量。 large language model
7 GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation IRIS：利用自解释迭代优化，近乎完美地破解GPT-4 large language model
8 LLM+Reasoning+Planning for Supporting Incomplete User Queries in Presence of APIs 提出LLM+推理+规划方法，解决API场景下不完整用户查询问题。 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (6 篇)

#题目一句话要点标签🔗⭐
9 Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation 提出SKarREC框架，利用大语言模型和知识图谱增强概念推荐效果。 representation learning contrastive learning large language model
10 Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances 提出无监督多模态聚类方法以发现多模态话语的语义 representation learning multimodal ✅
11 Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities 全面评测大语言模型在网络安全中的应用与脆弱性，为未来安全框架提供战略指导。 reinforcement learning RLHF DPO
12 Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator 提出基于强化学习的关键传播图生成器KPG，用于提升社交媒体谣言检测的准确性。 reinforcement learning
13 Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning 提出基于强化学习的量子电路合成与转译方法，提升效率并优化性能 reinforcement learning
14 Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach 提出一种基于相关性感知迁移学习的近场聚焦方法，加速超大规模可编程超表面的训练。 reinforcement learning deep reinforcement learning

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
15 Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge 提出基于图结构多边际薛定谔桥的随机学习方法，用于预测软件计算资源使用情况。 model predictive control

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