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Updated: Feb 12, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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当LLM讲ZigBee时:探索低延迟和推理模型,用于网络流量生成

Nur Keleşoğlu1, Łukasz Sobczak2, Joanna Domańska2

  • 1Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, Gliwice, 44-100, Poland. nkelesoglu@iitis.pl.

Scientific reports
|February 10, 2026
PubMed
概括

本研究介绍了一种使用GPT-4.1等大型语言模型 (LLM) 的新框架,用于为物联网系统生成现实的ZigBee网络流量. GPT-4.1有效地创建符合协议的合成流量,优于传统方法和深度学习基线.

关键词:
短时间的学习学习.生成性AI是一种人工智能.法学士 (LLM) 是一个专业.快速引擎工程 快速引擎工程通过ZigBee生成流量.

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