| 1 |
Retrieval-augmented in-context learning for multimodal large language models in disease classification |
提出RAICL框架,增强多模态大语言模型在疾病分类中的上下文学习能力 |
large language model multimodal |
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| 2 |
A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP) |
综述Agent互操作协议:MCP、ACP、A2A和ANP,旨在促进LLM驱动Agent的互联互通。 |
large language model multimodal |
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| 3 |
Real-time Spatial Retrieval Augmented Generation for Urban Environments |
提出实时空间RAG架构,用于增强城市环境中大语言模型的应用能力 |
large language model foundation model |
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| 4 |
TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition |
提出TxP模型,通过压力与文本双向生成提升人体活动识别精度。 |
foundation model |
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| 5 |
Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes |
LASSI-EE:利用大语言模型自动重构并行科学代码,提升能源效率 |
large language model |
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| 6 |
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data |
研究LLM处理图结构数据能力,发现Attention机制在建模节点关系上存在局限性 |
large language model |
✅ |
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| 7 |
MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents |
MemEngine:为LLM Agent开发高级记忆的统一模块化库 |
large language model |
✅ |
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| 8 |
Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants |
利用LLM Agent和数字孪生解决流程工厂的故障处理问题 |
large language model |
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| 9 |
AI-Driven Generation of Data Contracts in Modern Data Engineering Systems |
提出AI驱动的数据契约自动生成框架,提升数据治理效率 |
large language model |
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| 10 |
From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent |
Manus AI:通用自主数字智能体,弥合“思维”与“行动”的鸿沟 |
large language model |
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