cs.AI（2024-11-27）

📊 共 15 篇论文 | 🔗 2 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (13 🔗2) 支柱二：RL算法与架构 (RL & Architecture) (2)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (13 篇)

#题目一句话要点标签🔗⭐
1 Cross-modal Information Flow in Multimodal Large Language Models 深入剖析多模态大语言模型中跨模态信息流动机制，揭示视觉问答任务中的模态融合过程。 large language model multimodal ✅
2 Large Language Model-Brained GUI Agents: A Survey LLM驱动的GUI智能体综述：探索人机交互新范式 large language model multimodal
3 R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge 提出R-MTLLMF，解决无线边缘多任务LLM融合中对抗攻击下的模型鲁棒性问题 large language model
4 The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data 研究LLM生成LSTM模型在时间序列预测中的性能，并与手工模型对比。 large language model
5 Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students 调查显示中学生对大型语言模型使用率高，呼吁开发更适合教育场景的AI模型 large language model
6 Human Evaluation of Procedural Knowledge Graph Extraction from Text with Large Language Models 利用大型语言模型从文本中抽取程序性知识图谱并进行人工评估 large language model
7 Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment 提出Immune，通过推理时对齐提升多模态LLM的抗越狱安全性 large language model multimodal
8 SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation SALMONN-omni：一种用于全双工语音理解和生成的无编解码器LLM large language model multimodal
9 Methods to Assess the UK Government's Current Role as a Data Provider for AI 提出两种方法评估英国政府作为AI数据提供者的角色，揭示LLM训练数据来源。 large language model
10 Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs 提出基于DSPy的神经符号流水线，提升LLM在空间推理任务上的性能 large language model
11 DuMapper: Towards Automatic Verification of Large-Scale POIs with Street Views at Baidu Maps DuMapper：利用百度地图街景数据自动验证大规模兴趣点（POI） multimodal
12 The importance of visual modelling languages in generative software engineering 利用多模态GPTs，结合视觉建模语言与自然语言，探索软件工程中的生成式应用 multimodal
13 Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science 利用大规模文献分析，揭示AI与科学融合的机遇与挑战，促进跨学科合作。 large language model ✅

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

#题目一句话要点标签🔗⭐
14 RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data RelCon：用于可穿戴设备运动数据的新型相对对比学习运动基础模型 contrastive learning foundation model
15 From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps 提出AppRay，融合任务导向探索与自动检测，高效识别移动应用中的恶意诱导模式。 contrastive learning large language model

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