| 1 |
OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs |
OmniActions:利用LLM预测响应真实世界多模态输入的数字行为 |
large language model multimodal |
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| 2 |
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering |
FOKE:融合基础模型、知识图谱与提示工程的个性化教育框架 |
large language model foundation model |
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| 3 |
Large Language Models Synergize with Automated Machine Learning |
结合大语言模型与AutoML,实现端到端机器学习流程的自动代码生成与优化。 |
large language model |
✅ |
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| 4 |
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts |
提出WDMoE:一种基于无线分布式MoE的LLM框架,降低端到端延迟。 |
large language model |
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| 5 |
Large Language Models (LLMs) as Agents for Augmented Democracy |
利用大型语言模型增强民主:预测公民政策偏好 |
large language model |
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| 6 |
Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence |
提出基于社区结构的语言模型组织方法,提升LLM的集体智能和问题解决能力 |
large language model |
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| 7 |
When LLMs Meet Cybersecurity: A Systematic Literature Review |
系统性综述:探索大型语言模型在网络安全领域的应用与挑战 |
large language model |
✅ |
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| 8 |
A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama |
评估Code Llama生成代码的能效:与人工编写代码的对比研究 |
large language model |
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