mlsanityData to 7 Oct 2026

Large Generative AI Models for Telecom: The Next Big Thing?

arXiv 2306.10249 ↗First posted 17 Jun 2023cs.CL cs.AIcited by 52

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Abstract (arXiv)

The evolution of generative artificial intelligence (GenAI) constitutes a turning point in reshaping the future of technology in different aspects. Wireless networks in particular, with the blooming of self-evolving networks, represent a rich field for exploiting GenAI and reaping several benefits that can fundamentally change the way how wireless networks are designed and operated nowadays. To be specific, large GenAI models are envisioned to open up a new era of autonomous wireless networks, in which multi-modal GenAI models trained over various Telecom data, can be fine-tuned to perform several downstream tasks, eliminating the need for building and training dedicated AI models for each specific task and paving the way for the realization of artificial general intelligence (AGI)-empowered wireless networks. In this article, we aim to unfold the opportunities that can be reaped from integrating large GenAI models into the Telecom domain. In particular, we first highlight the applications of large GenAI models in future wireless networks, defining potential use-cases and revealing insights on the associated theoretical and practical challenges. Furthermore, we unveil how 6G can open up new opportunities through connecting multiple on-device large GenAI models, and hence, paves the way to the collective intelligence paradigm. Finally, we put a forward-looking vision on how large GenAI models will be the key to realize self-evolving networks.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). Builds on 9 of its 15 references that are in the map. First posted on arXiv 17 Jun 2023.

Builds on

9 of 15 references.

References · 9

  1. 2023A Survey of Large Language Modelscited by 2,537
  2. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  3. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  4. 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
  5. 2023Grounding Large Language Models in Interactive Environments with Online Reinforcement Learningcited by 193
  6. 2022Transformer-Empowered 6G Intelligent Networks: From Massive MIMO Processing to Semantic Communicationcited by 18
  7. 2023Semantic Compression With Large Language Modelscited by 17
  8. 2022Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theorycited by 15
  9. 2020Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMOcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 25; 2025: 17; 2026: 7.

52 papers.

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  1. 2024TelecomGPT: A Framework to Build Telecom-Specfic Large Language Modelscited by 38
  2. 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
  3. 2024Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systemscited by 27
  4. 2024At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligencecited by 25
  5. 2024Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Surveycited by 21
  6. 2023AI-native Interconnect Framework for Integration of Large Language Model Technologies in 6G Systemscited by 19
  7. 2024An overview of domain-specific foundation model: key technologies, applications and challengescited by 19
  8. 2024GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoningcited by 13
  9. 2024Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigmcited by 13
  10. 2025ORANSight-2.0: Foundational LLMs for O-RANcited by 13
  11. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
  12. 2024Linguistic Intelligence in Large Language Models for Telecommunicationscited by 11
38 more
  1. 2024Can LLMs Understand Computer Networks? Towards a Virtual System Administratorcited by 11
  2. 20256G WavesFM: A Foundation Model for Sensing, Communication, and Localizationcited by 11
  3. 2024ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perceptioncited by 7
  4. 2024Building 6G Radio Foundation Models with Transformer Architecturescited by 7
  5. 2024Telecom Foundation Models: Applications, Challenges, and Future Trendscited by 6
  6. 2025The Larger the Merrier? Efficient Large AI Model Inference in Wireless Edge Networkscited by 6
  7. 2026Agentic AI Empowered Intent-Based Networking for 6Gcited by 6
  8. 2023Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunitiescited by 5
  9. 2024Hermes: A Large Language Model Framework on the Journey to Autonomous Networkscited by 5
  10. 2024Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learningcited by 5
  11. 2025From Tiny Machine Learning to Tiny Deep Learning: A Surveycited by 5
  12. 2026RF-GPT: Teaching AI to See the Wireless Worldcited by 5
  13. 2025Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networkscited by 4
  14. 2024Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communicationcited by 3
  15. 2024TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domaincited by 3
  16. 2024Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehiclescited by 3
  17. 2025ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicingcited by 3
  18. 2024Large Language Model Empowered Next-Generation MIMO Networks: Fundamentals, Challenges, and Visionscited by 2
  19. 2024Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutionscited by 2
  20. 2025An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learningcited by 2
  21. 2025Edge Large AI Models: Revolutionizing 6G Networkscited by 2
  22. 2025AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Modelcited by 2
  23. 2025Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicingcited by 2
  24. 2024Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networkscited by 1
  25. 2025From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systemscited by 1
  26. 2025TeleEval-OS: Performance evaluations of large language models for operations schedulingcited by 1
  27. 2025Generative AI Meets Wireless Sensing: Towards Wireless Foundation Modelcited by 1
  28. 2025Evaluating Open-Source Large Language Models for Technical Telecom Question Answeringcited by 1
  29. 2026Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systemscited by 1
  30. 2023Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networkscited by 0
  31. 2024Fault Detection in Mobile Networks Using Diffusion Modelscited by 0
  32. 2024Strategic Demand-Planning in Wireless Networks: Can Generative-AI Save Spectrum and Energy?cited by 0
  33. 2024WirelessAgent: Large Language Model Agents for Intelligent Wireless Networkscited by 0
  34. 2024Large Language Models for Knowledge-Free Network Management: Feasibility Study and Opportunitiescited by 0
  35. 2025Concept-Level AI for Telecom: Moving Beyond Large Language Modelscited by 0
  36. 2025Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemescited by 0
  37. 2026Generative Communications: Overview, Technologies, and Trendscited by 0
  38. 2026Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networkscited by 0

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