We propose a new semantic communication system that considers the token-level correlation between consecutive tokens during the semantic encoding. This bidirectional correlation helps …

2022年6月12日 · The Genomic Standards Consortium (GSC) is an open-membership working body formed in September 2005. The aim of the GSC is making genomic data discoverable. The GSC enables genomic data integration, discovery and comparison through international community-driven standards.

2025年1月17日 · We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), quantum computing, and semantic communication for …

The simulation shows that compared to conventional approaches such as Xie et al. (2021) and Liu et al. (2022), GenSC can improve the bilingual evaluation understudy (BLEU) and semantic similarity (SS) scores at low SNR regions a lot and enjoy higher BLEU and SS scores at …

2025年2月17日 · In this paper, we introduce the potential opportunities and challenges of leveraging context in GenSC, explore how to integrate GFM/MLLMs-based token processing into semantic communication systems to leverage cross-modal context effectively, present the key principles for efficient TokCom at various layers in future wireless networks.

Implementation of GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication. A flexible prototype that supports modifications to baseline models, …

2025年1月21日 · 庆熙大学 本次发布的数据集 GenSC-6G, GenSC-6G数据集由庆熙大学等研究机构开发，旨在为6G网络中的生成式人工智能、量子计算和语义通信提供支持。

Hence, we design a new architecture for the semantic communication system based on BART-like model (Lewis et al., 2019), called GenSC. The proposed GenSC further takes the token-level correlation between consecutive tokens into ac

We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), quantum computing, and semantic communication for emerging sixth-generation (6G) applications.

We introduce a prototyping testbed, GenSC-6G, developed to generate a comprehensive dataset that supports the integration of generative artificial intelligence (AI), Quantum Computing, and Semantic Communication