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English(EN) TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems

TONIC框架为基础模型优化无线通信

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种名为TONIC的新型无线系统语义通信框架，该框架优先考虑基础模型的令牌级相关性。该方法超越了传统的比特级保真度，根据令牌对任务的重要性动态分配保护。在接收端，一个置信度感知门控机制处理不可靠的决策，允许一个完成模型恢复丢失的信息以进行准确推理。实验表明，TONIC在各种信道条件下，在图像分类任务上的性能优于现有方法。 AI

影响 优化AI模型的数据传输，可能提高AI驱动的无线应用的效率和准确性。

排序理由 介绍语义通信新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

TONIC框架为基础模型优化无线通信

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介绍语义通信新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Sige Liu, Kezhi Wang ·

    TONIC：面向任务的无线系统的以令牌为中心的语义通信

    arXiv:2605.21553v1 Announce Type: new Abstract: Tokens are becoming the basic units through which foundation models represent and process information for understanding and inference. However, traditional wireless communication, centered on bit-level fidelity, faces a mismatch bet…

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