cs.AI（2024-04-12）

📊 共 11 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (8 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (3)

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

#题目一句话要点标签🔗⭐
1 Reducing the Barriers to Entry for Foundation Model Training 提出基础模型训练基础设施变革以应对AI需求激增问题 large language model foundation model
2 Study of Emotion Concept Formation by Integrating Vision, Physiology, and Word Information using Multilayered Multimodal Latent Dirichlet Allocation 提出多层次多模态潜在狄利克雷分配模型以研究情感概念形成 multimodal
3 Assessing Economic Viability: A Comparative Analysis of Total Cost of Ownership for Domain-Adapted Large Language Models versus State-of-the-art Counterparts in Chip Design Coding Assistance 比较分析领域适应大型语言模型与最先进模型的经济可行性 large language model
4 Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward 提出在线安全分析基准以提升大语言模型的安全性 large language model
5 Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases 评估LLM在数据库查询中的资源利用与传统SQL的对比 large language model
6 LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation 提出LlamaTouch以解决移动UI任务自动化评估不准确与不可扩展问题 multimodal ✅
7 Memory Traces: Are Transformers Tulving Machines? 利用大型语言模型重访Tulving记忆模型的实验 foundation model
8 Subtoxic Questions: Dive Into Attitude Change of LLM's Response in Jailbreak Attempts 提出针对敏感问题的攻击评估方法以增强LLM安全性 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗⭐
9 RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning 提出RLEMMO框架以解决多模态优化问题 reinforcement learning deep reinforcement learning multimodal
10 AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations 提出AIMDiT以解决对话中的情感识别多模态融合问题 representation learning multimodal
11 Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning 提出基于深度强化学习的框架以自动配置进化计算中的探索-开发权衡 reinforcement learning deep reinforcement learning

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