mlsanityData to 7 Oct 2026

Large AI Model-Based Semantic Communications

arXiv 2307.03492 ↗First posted 7 Jul 2023cs.AI cs.NIcited by 35

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Abstract (arXiv)

Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed reality, and the Internet of Everything. However, in current SC systems, the construction of the knowledge base (KB) faces several issues, including limited knowledge representation, frequent knowledge updates, and insecure knowledge sharing. Fortunately, the development of the large AI model (LAM) provides new solutions to overcome the above issues. Here, we propose a LAM-based SC framework (LAM-SC) specifically designed for image data, where we first apply the segment anything model (SAM)-based KB (SKB) that can split the original image into different semantic segments by universal semantic knowledge. Then, we present an attention-based semantic integration (ASI) to weigh the semantic segments generated by SKB without human participation and integrate them as the semantic aware image. Additionally, we propose an adaptive semantic compression (ASC) encoding to remove redundant information in semantic features, thereby reducing communication overhead. Finally, through simulations, we demonstrate the effectiveness of the LAM-SC framework and the possibility of applying the LAM-based KB in future SC paradigms.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). Builds on 8 of its 35 references that are in the map. First posted on arXiv 7 Jul 2023.

Builds on

8 of 35 references.

References · 8

  1. 2023Segment Anythingcited by 8,158
  2. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  3. 2021VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Taskscited by 319
  4. 2020Deep Learning Enabled Semantic Communication Systemscited by 282
  5. 2021Self-Supervised Representation Learning: Introduction, Advances and Challengescited by 147
  6. 2022Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesiscited by 32
  7. 2022Robust Information Bottleneck for Task-Oriented Communication with Digital Modulationcited by 28
  8. 2022Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuningcited by 25

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 11; 2025: 16; 2026: 5.

35 papers.

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  1. 2023Large Language Model Enhanced Multi-Agent Systems for 6G Communicationscited by 53
  2. 2023Large AI Model Empowered Multimodal Semantic Communicationscited by 38
  3. 2024Large Generative Model Assisted 3D Semantic Communicationcited by 12
  4. 2024Visual Language Model based Cross-modal Semantic Communication Systemscited by 12
  5. 2024Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applicationscited by 6
  6. 2024Semantic Communication based on Large Language Model for Underwater Image Transmissioncited by 6
  7. 2025SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Frameworkcited by 6
  8. 2024Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC systemcited by 5
  9. 2025Semantic Communications with Computer Vision Sensing for Edge Video Transmissioncited by 5
  10. 2025LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approachcited by 5
  11. 2023BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Modelscited by 4
  12. 2025ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communicationscited by 4
23 more
  1. 2024Large Generative Model-assisted Talking-face Semantic Communication Systemcited by 3
  2. 2025Multimodal LLM Integrated Semantic Communications for 6G Immersive Experiencescited by 3
  3. 2025Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunitiescited by 3
  4. 2024Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillancecited by 2
  5. 2025Large Language Model-Driven Distributed Integrated Multimodal Sensing and Semantic Communicationscited by 2
  6. 2025Trust Semantics Distillation for Collaborator Selection via Memory-Augmented Agentic AIcited by 2
  7. 2025Robust and Efficient Communication in Multi-Agent Reinforcement Learningcited by 2
  8. 2024Personalized Federated Learning for Generative AI-Assisted Semantic Communicationscited by 1
  9. 2025Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systemscited by 1
  10. 2025From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communicationscited by 1
  11. 2025Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Modelscited by 1
  12. 2025Semantic Chain-of-Trust: Autonomous Trust Orchestration for Collaborator Selection via Hypergraph-Aided Agentic AIcited by 1
  13. 2025BERT4beam: Large AI Model Enabled Generalized Beamforming Optimizationcited by 1
  14. 2026Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmissioncited by 1
  15. 2024Interplay of Semantic Communication and Knowledge Learningcited by 0
  16. 2024SemAI: Semantic Artificial Intelligence-enhanced DNA storage for Internet-of-Thingscited by 0
  17. 2024Integrating Semantic Communication and Human Decision-Making into an End-to-End Sensing-Decision Frameworkcited by 0
  18. 2025DiffPace: Diffusion-based Plug-and-play Augmented Channel Estimation in mmWave and Terahertz Ultra-Massive MIMO Systemscited by 0
  19. 2025Large Speech Model Enabled Semantic Communicationcited by 0
  20. 2026A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applicationscited by 0
  21. 2026Explainable Task-Oriented Token Communication for AI-Native 6G Networkscited by 0
  22. 2026Generative Communications: Overview, Technologies, and Trendscited by 0
  23. 2026From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivitycited by 0