{"list":"other","total":91,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2407.21783","title":"The Llama 3 Herd of Models","created":"2024-07-31","cited_by_count":14715},{"id":"2210.03629","title":"ReAct: Synergizing Reasoning and Acting in Language Models","created":"2022-10-06","cited_by_count":8695},{"id":"1904.09675","title":"BERTScore: Evaluating Text Generation with BERT","created":"2019-04-21","cited_by_count":5512},{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576},{"id":"2407.10671","title":"Qwen2 Technical Report","created":"2024-07-15","cited_by_count":2120},{"id":"1909.08053","title":"Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism","created":"2019-09-17","cited_by_count":1868},{"id":"1910.02054","title":"ZeRO: Memory Optimizations Toward Training Trillion Parameter Models","created":"2019-10-04","cited_by_count":1301},{"id":"2307.03109","title":"A Survey on Evaluation of Large Language Models","created":"2023-07-06","cited_by_count":1242},{"id":"2303.17564","title":"BloombergGPT: A Large Language Model for Finance","created":"2023-03-30","cited_by_count":939},{"id":"2109.01903","title":"Robust fine-tuning of zero-shot models","created":"2021-09-04","cited_by_count":797},{"id":"2403.14608","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","created":"2024-03-21","cited_by_count":656},{"id":"2201.11990","title":"Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model","created":"2022-01-28","cited_by_count":559},{"id":"2310.01412","title":"DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model","created":"2023-10-02","cited_by_count":461},{"id":"2303.14070","title":"ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge","created":"2023-03-24","cited_by_count":325},{"id":"2311.12320","title":"A Survey on Multimodal Large Language Models for Autonomous Driving","created":"2023-11-21","cited_by_count":290},{"id":"2310.03026","title":"LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving","created":"2023-10-04","cited_by_count":190},{"id":"2406.15319","title":"LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs","created":"2024-06-21","cited_by_count":108},{"id":"2305.18279","title":"Contextual Object Detection with Multimodal Large Language Models","created":"2023-05-29","cited_by_count":100},{"id":"1811.00701","title":"Towards the Development of Realistic Botnet Dataset in the Internet of Things for Network Forensic Analytics: Bot-IoT Dataset","created":"2018-11-02","cited_by_count":99},{"id":"2305.15778","title":"Automatic Root Cause Analysis via Large Language Models for Cloud Incidents","created":"2023-05-25","cited_by_count":84},{"id":"2405.10825","title":"Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities","created":"2024-05-17","cited_by_count":83},{"id":"2402.00782","title":"Dense Reward for Free in Reinforcement Learning from Human Feedback","created":"2024-02-01","cited_by_count":78},{"id":"2402.02338","title":"NetLLM: Adapting Large Language Models for Networking","created":"2024-02-04","cited_by_count":78},{"id":"2102.07988","title":"TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models","created":"2021-02-16","cited_by_count":75},{"id":"2403.04123","title":"Exploring LLM-based Agents for Root Cause Analysis","created":"2024-03-07","cited_by_count":61},{"id":"2411.01433","title":"HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference","created":"2024-11-03","cited_by_count":55},{"id":"2312.07850","title":"Large Language Model Enhanced Multi-Agent Systems for 6G Communications","created":"2023-12-13","cited_by_count":53},{"id":"2308.12060","title":"FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering","created":"2023-08-23","cited_by_count":51},{"id":"2408.09251","title":"V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models","created":"2024-08-17","cited_by_count":47},{"id":"2405.17053","title":"WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence","created":"2024-05-27","cited_by_count":44},{"id":"2407.09424","title":"TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models","created":"2024-07-12","cited_by_count":40},{"id":"2301.03797","title":"Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models","created":"2023-01-10","cited_by_count":38},{"id":"2411.02530","title":"A Comprehensive Study on Quantization Techniques for Large Language Models","created":"2024-10-30","cited_by_count":36},{"id":"2004.14667","title":"NUBIA: NeUral Based Interchangeability Assessor for Text Generation","created":"2020-04-30","cited_by_count":34},{"id":"2312.05693","title":"Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge","created":"2023-12-09","cited_by_count":33},{"id":"2405.01745","title":"Large Language Models for UAVs: Current State and Pathways to the Future","created":"2024-05-02","cited_by_count":33},{"id":"2305.00350","title":"POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models","created":"2023-04-29","cited_by_count":29},{"id":"2311.17474","title":"Large Language Models for Networking: Applications, Enabling Techniques, and Challenges","created":"2023-11-29","cited_by_count":28},{"id":"2402.07470","title":"Pushing The Limit of LLM Capacity for Text Classification","created":"2024-02-12","cited_by_count":28},{"id":"2409.05314","title":"Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications","created":"2024-09-09","cited_by_count":25},{"id":"2409.02877","title":"Configurable Foundation Models: Building LLMs from a Modular Perspective","created":"2024-09-04","cited_by_count":22},{"id":"2105.14500","title":"Tesseract: Parallelize the Tensor Parallelism Efficiently","created":"2021-05-30","cited_by_count":19},{"id":"2404.03662","title":"X-lifecycle Learning for Cloud Incident Management using LLMs","created":"2024-02-15","cited_by_count":19},{"id":"2408.00214","title":"Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control","created":"2024-08-01","cited_by_count":19},{"id":"2210.09439","title":"CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model","created":"2022-10-17","cited_by_count":17},{"id":"2403.02238","title":"Towards Intent-Based Network Management: Large Language Models for Intent Extraction in 5G Core Networks","created":"2024-03-04","cited_by_count":17},{"id":"2405.11002","title":"Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection","created":"2024-05-17","cited_by_count":16},{"id":"2401.10222","title":"Supervised Fine-tuning in turn Improves Visual Foundation Models","created":"2024-01-18","cited_by_count":13},{"id":"2402.10067","title":"LLM-based policy generation for intent-based management of applications","created":"2024-01-22","cited_by_count":13},{"id":"2410.05062","title":"Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks","created":"2024-10-07","cited_by_count":13},{"id":"2102.11570","title":"Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models","created":"2021-02-23","cited_by_count":12},{"id":"2403.19016","title":"Resource Allocation in Large Language Model Integrated 6G Vehicular Networks","created":"2024-03-27","cited_by_count":11},{"id":"2405.06856","title":"Aladdin: Joint Placement and Scaling for SLO-Aware LLM Serving","created":"2024-05-11","cited_by_count":11},{"id":"2311.10401","title":"LLM-based Control Code Generation using Image Recognition","created":"2023-11-17","cited_by_count":10},{"id":"2404.00227","title":"A Survey of using Large Language Models for Generating Infrastructure as Code","created":"2024-03-30","cited_by_count":10},{"id":"2405.05469","title":"PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks","created":"2024-05-09","cited_by_count":10},{"id":"2406.13399","title":"VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework","created":"2024-06-19","cited_by_count":10},{"id":"2407.04581","title":"Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions","created":"2024-07-05","cited_by_count":10},{"id":"2409.08234","title":"LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems","created":"2024-09-12","cited_by_count":10},{"id":"1807.04872","title":"Where Are The Gaps? A Systematic Mapping Study of Infrastructure as Code Research","created":"2018-07-13","cited_by_count":9},{"id":"2408.06663","title":"Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models","created":"2024-08-13","cited_by_count":9},{"id":"2409.00124","title":"Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning","created":"2024-08-28","cited_by_count":9},{"id":"2409.11276","title":"Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments","created":"2024-09-17","cited_by_count":9},{"id":"2407.19794","title":"Introducing a new hyper-parameter for RAG: Context Window Utilization","created":"2024-07-29","cited_by_count":8},{"id":"2105.15035","title":"Machine Learning for Security in Vehicular Networks: A Comprehensive Survey","created":"2021-05-31","cited_by_count":7},{"id":"2403.13721","title":"Large Language Models meet Network Slicing Management and Orchestration","created":"2024-03-20","cited_by_count":7},{"id":"2405.07140","title":"Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization","created":"2024-05-12","cited_by_count":7},{"id":"2407.20840","title":"Large Language Model (LLM)-enabled Graphs in Dynamic Networking","created":"2024-07-30","cited_by_count":7},{"id":"2110.12415","title":"A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments","created":"2021-10-24","cited_by_count":6},{"id":"2404.16356","title":"Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey","created":"2024-04-25","cited_by_count":6},{"id":"2405.08755","title":"Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach","created":"2024-05-14","cited_by_count":6},{"id":"2405.13356","title":"Large Language Models (LLMs) Assisted Wireless Network Deployment in Urban Settings","created":"2024-05-22","cited_by_count":6},{"id":"2405.19635","title":"GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM Deployment","created":"2024-05-30","cited_by_count":6},{"id":"2406.08765","title":"LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices","created":"2024-06-13","cited_by_count":6},{"id":"2406.05418","title":"Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach","created":"2024-06-08","cited_by_count":5},{"id":"2408.15907","title":"Decentralized LLM Inference over Edge Networks with Energy Harvesting","created":"2024-08-28","cited_by_count":5},{"id":"2409.10484","title":"XLM for Autonomous Driving Systems: A Comprehensive Review","created":"2024-09-16","cited_by_count":5},{"id":"1508.06366","title":"Wireless Powered Communication Networks: An Overview","created":"2015-08-26","cited_by_count":4},{"id":"2312.10631","title":"LLM-Twin: Mini-Giant Model-driven Beyond 5G Digital Twin Networking Framework with Semantic Secure Communication and Computation","created":"2023-12-17","cited_by_count":4},{"id":"2401.06831","title":"A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems","created":"2024-01-12","cited_by_count":4},{"id":"1804.01747","title":"Survey of Communication Protocols for Internet-of-Things and Related Challenges of Fog and Cloud Computing Integration","created":"2018-04-05","cited_by_count":3},{"id":"2304.09240","title":"The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions","created":"2023-04-18","cited_by_count":3},{"id":"2407.18462","title":"MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection","created":"2024-07-26","cited_by_count":3},{"id":"2408.04680","title":"Dynamic Fog Computing for Enhanced LLM Execution in Medical Applications","created":"2024-08-08","cited_by_count":3},{"id":"2207.00264","title":"A Functional Architecture for 6G Special Purpose Industrial IoT Networks","created":"2022-07-01","cited_by_count":2},{"id":"2311.12074","title":"SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification","created":"2023-11-19","cited_by_count":2},{"id":"2407.10016","title":"Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks","created":"2024-07-13","cited_by_count":1}],"next_cursor":null}