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DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey

https://doi.org/10.1145/3776745
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Structured information extraction from scientific text with large language models
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Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks
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Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond
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Wireless Software Defined Networking: A Survey and Taxonomy
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Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions
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Millimeter Wave Communication: A Comprehensive Survey
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Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
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A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges
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Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges
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A Contemporary Survey on Semantic Communications: Theory of Mind, Generative AI, and Deep Joint Source-Channel Coding
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On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
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EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks
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Deep Reinforcement Learning-Based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications
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Joint Sensing, Communication, and Computation in UAV-Assisted Systems
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Low-Latency Networking: Where Latency Lurks and How to Tame It
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Deep Learning-Based Channel Estimation
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Physical Layer Authentication Scheme in Beamspace MIMO Systems
inferredcites →https://doi.org/10.1109/lcomm.2023.3280821openalex-snapshot
Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks
inferredcites →https://doi.org/10.1109/lcomm.2024.3499956openalex-snapshot
Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation
inferredcites →https://doi.org/10.1109/mcom.2016.7565189openalex-snapshot
Massive machine-type communications in 5g: physical and MAC-layer solutions
inferredcites →https://doi.org/10.1109/mnet.111.2100206openalex-snapshot
Dynamic-Adaptive AI Solutions for Network Slicing Management in Satellite-Integrated B5G Systems
inferredcites →https://doi.org/10.1109/mnet.2017.8120237openalex-snapshot
Massive Machine-Type Communications
inferredcites →https://doi.org/10.1109/msp.2007.361604openalex-snapshot
A Survey of Dynamic Spectrum Access
inferredcites →https://doi.org/10.1109/mwc.001.2000292openalex-snapshot
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions
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Semantic-Aware Vision-Assisted Integrated Sensing and Communication: Architecture and Resource Allocation
inferredcites →https://doi.org/10.1109/mwc.2019.1800234openalex-snapshot
An Overview of Network Slicing for 5G
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The Road Towards 6G: A Comprehensive Survey
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Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
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Investigation of Equatorial Medium Earth Orbits for Space Solar Power
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On Secure Wireless Communications for IoT Under Eavesdropper Collusion
inferredcites →https://doi.org/10.1109/tccn.2019.2919300openalex-snapshot
Deep Joint Source-Channel Coding for Wireless Image Transmission
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LaMoSC: Large Language Model-Driven Semantic Communication System for Visual Transmission
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Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
inferredcites →https://doi.org/10.1109/tpami.2023.3261988openalex-snapshot
Diffusion Models in Vision: A Survey
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A Crowdsourcing Framework for On-Device Federated Learning
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Large Language Models (LLMs) Assisted Wireless Network Deployment in Urban Settings
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A Survey on Homomorphic Encryption Schemes
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Explainable Reinforcement Learning: A Survey and Comparative Review
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Fairness and Diversity in Recommender Systems: A Survey
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Self-Collaboration Code Generation via ChatGPT
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Security and Privacy Challenges of Large Language Models: A Survey
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study
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WirelessLLM: Empowering Large Language Models towards Wireless Intelligence
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A Review on Autonomous Vehicles: Progress, Methods and Challenges
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An Optimized Approach to Channel Modeling and Impact of Deteriorating Factors on Wireless Communication in Underground Mines
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Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review

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inferred← citeshttps://doi.org/10.1109/tnse.2025.3610626openalex-snapshot
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AI-Driven Innovation in Curriculum System and Teaching Model for Computer Science in Higher Education: A Practical Study Based on the Course of Machine Vision Inspection
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