cs.AI(2025-04-25)

📊 共 20 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) (18 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (18 篇)

#题目一句话要点标签🔗
1 Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings 提出语义感知对比微调方法,提升多模态恶意软件分类的判别嵌入能力 large language model multimodal
2 MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind MultiMind:融合多模态推理和心智理论增强狼人杀AI智能体 large language model multimodal
3 A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography Tract2Shape:利用多模态深度学习快速预测白质纤维束形态特征,提升脑部研究效率。 multimodal
4 Technical Challenges in Maintaining Tax Prep Software with Large Language Models 利用大语言模型自动维护税务软件,应对税法动态变化带来的挑战 large language model
5 Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development 利用大型语言模型ChatGPT-4将分类数据转换为OWL本体,提升本体构建效率。 large language model
6 Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation 提出LLM4CDSR模型,利用大语言模型增强跨域序列推荐性能 large language model
7 Large Language Model-Based Intelligent Antenna Design System 提出基于大语言模型的智能天线设计系统LADS,加速天线设计与优化。 large language model
8 Spark: A System for Scientifically Creative Idea Generation Spark:一个用于科学创意生成的系统,结合LLM和评审模型。 large language model
9 The Big Send-off: High Performance Collectives on GPU-based Supercomputers PCCL:针对GPU超级计算机上大规模LLM训练的高性能集合通信库 large language model
10 Artificial Intelligence health advice accuracy varies across languages and contexts 评估AI健康建议在多语言和多情境下的准确性,揭示其在非英语环境中的性能差异。 large language model
11 An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation 提出F-RLP框架,利用LLM进行上下文个性化食物推荐,解决传统方法在食物数据上的不足。 large language model
12 MODP: Multi Objective Directional Prompting 提出MODP,一种多目标定向Prompting框架,提升LLM在摘要任务和实际应用中的性能。 large language model
13 From Prompts to Propositions: A Logic-Based Lens on Student-LLM Interactions 提出Prompt2Constraints方法,通过命题逻辑约束分析学生与LLM交互中的prompt演变模式。 large language model
14 LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection LLMpatronous:利用大型语言模型进行漏洞检测 large language model
15 Evolution of AI in Education: Agentic Workflows 提出基于Agentic Workflow的AI教育框架,提升教育场景下的AI应用效果 large language model
16 Towards Adaptive Software Agents for Debugging 提出自适应Agent调试框架,动态调整Agent数量与角色以优化LLM调试能力 large language model
17 LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN 提出LLM-hRIC框架,利用LLM增强O-RAN中分层RIC的协同控制。 large language model
18 Validating Network Protocol Parsers with Traceable RFC Document Interpretation 利用可追溯RFC文档解释,验证网络协议解析器的正确性 large language model

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

#题目一句话要点标签🔗
19 Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation 提出BoxMed-RL,通过链式思考和强化学习生成可验证的放射报告。 reinforcement learning large language model chain-of-thought

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
20 Adapting Probabilistic Risk Assessment for AI 提出AI概率风险评估框架,应对通用人工智能系统风险管理挑战 affordance

⬅️ 返回 cs.AI 首页 · 🏠 返回主页