From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
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Abstract (arXiv)
This groundbreaking study explores the expanse of Large Language Models (LLMs), such as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT) across varied domains ranging from technology, finance, healthcare to education. Despite their established prowess in Natural Language Processing (NLP), these LLMs have not been systematically examined for their impact on domains such as fitness, and holistic well-being, urban planning, climate modelling as well as disaster management. This review paper, in addition to furnishing a comprehensive analysis of the vast expanse and extent of LLMs' utility in diverse domains, recognizes the research gaps and realms where the potential of LLMs is yet to be harnessed. This study uncovers innovative ways in which LLMs can leave a mark in the fields like fitness and wellbeing, urban planning, climate modelling and disaster response which could inspire future researches and applications in the said avenues.
Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 37 of its 64 references that are in the map. First posted on arXiv 25 Feb 2024.
Builds on
37 of 64 references.
References · 37
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
- 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,404
- 2020CodeBERT: A Pre-Trained Model for Programming and Natural Languagescited by 1,286
- 2023Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedbackcited by 351
- 2020Revisiting Few-sample BERT Fine-tuningcited by 237
- 2020ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Datacited by 136
- 2016De-identification of Patient Notes with Recurrent Neural Networkscited by 88
25 more
- 2023UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Webcited by 77
- 2023LLMs Accelerate Annotation for Medical Information Extractioncited by 77
- 2024(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advicecited by 61
- 2023Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizationscited by 59
- 2023Large Language Models in Education: Vision and Opportunitiescited by 54
- 2023Towards Interpretable Mental Health Analysis with Large Language Modelscited by 53
- 2023A Short Survey of Viewing Large Language Models in Legal Aspectcited by 51
- 2023Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generationcited by 49
- 2023TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Modelscited by 45
- 2023Large Language Model-Aware In-Context Learning for Code Generationcited by 42
- 2023Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environmentcited by 37
- 2023Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMscited by 34
- 2023DisasterResponseGPT: Large Language Models for Accelerated Plan of Action Development in Disaster Response Scenarioscited by 33
- 2023chatClimate: Grounding Conversational AI in Climate Sciencecited by 32
- 2023On the application of Large Language Models for language teaching and assessment technologycited by 26
- 2023Intelligent Virtual Assistants with LLM-based Process Automationcited by 26
- 2023Assessing Large Language Models on Climate Informationcited by 22
- 2021CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notescited by 18
- 2023Enhancing Large Language Models with Climate Resourcescited by 18
- 2023Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approachcited by 15
- 2023Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLMcited by 10
- 2023FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLMcited by 9
- 2023Optimizing and Fine-tuning Large Language Model for Urban Renewalcited by 6
- 2024Large language model empowered participatory urban planningcited by 5
- 2023Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerationscited by 4
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Citing papers per year: 2024: 11; 2025: 7; 2026: 1.
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- 2024When LLMs Meet Cybersecurity: A Systematic Literature Reviewcited by 70
- 2025A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluationscited by 66
- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2024Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approachescited by 13
- 2025VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimizationcited by 10
- 2024Code Generation and Algorithmic Problem Solving Using Llama 3.1 405Bcited by 7
- 2025Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoningcited by 5
- 2024Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performancecited by 4
- 2024MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentationcited by 4
- 2024Using Large Language Models in Public Transit Systems, San Antonio as a case studycited by 3
- 2025Dual-Space Smoothness for Robust and Balanced LLM Unlearningcited by 2
- 2024The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimationcited by 1
7 more
- 2024Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualizationcited by 1
- 2025SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidancecited by 1
- 2026PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email Writingcited by 1
- 2024Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devicescited by 0
- 2024Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variablescited by 0
- 2025Towards a Unified Textual Graph Framework for Spectral Reasoning via Physical and Chemical Information Fusioncited by 0
- 2025ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretrainingcited by 0
- 2026PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email Writing19 Feb 2026
- 2025Dual-Space Smoothness for Robust and Balanced LLM Unlearning27 Sep 2025
- 2025ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining9 Jul 2025
- 2025Towards a Unified Textual Graph Framework for Spectral Reasoning via Physical and Chemical Information Fusion21 Jun 2025
- 2025SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance5 May 2025
- 2025VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization17 Apr 2025
- 2025A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations14 Feb 2025
- 2025Dynamic Chain-of-Thought: Towards Adaptive Deep Reasoning7 Feb 2025
- 2024MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation3 Oct 2024
- 2024Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B26 Sep 2024
- 2024Using Large Language Models in Public Transit Systems, San Antonio as a case study25 Jun 2024
- 2024Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variables30 May 2024
7 more
- 2024Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance29 May 2024
- 2024Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization27 May 2024
- 2024When LLMs Meet Cybersecurity: A Systematic Literature Review6 May 2024
- 2024Large Language Models for UAVs: Current State and Pathways to the Future2 May 2024
- 2024Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches19 Apr 2024
- 2024Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices1 Apr 2024
- 2024The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation24 Mar 2024
- 2025Dual-Space Smoothness for Robust and Balanced LLM Unlearning27 Sep 2025
- 2024When LLMs Meet Cybersecurity: A Systematic Literature Reviewcited by 70
- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2024Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approachescited by 13
- 2024Code Generation and Algorithmic Problem Solving Using Llama 3.1 405Bcited by 7
- 2024Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performancecited by 4
- 2024MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentationcited by 4
- 2024Using Large Language Models in Public Transit Systems, San Antonio as a case studycited by 3
- 2024The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimationcited by 1
- 2024Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualizationcited by 1
- 2025SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidancecited by 1
- 2024Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devicescited by 0
- 2024Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variablescited by 0
12 most cited of 13 All 13 (JSON)
- 2025ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining9 Jul 2025
- 2025SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance5 May 2025
- 2024MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation3 Oct 2024
- 2024Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B26 Sep 2024
- 2024Using Large Language Models in Public Transit Systems, San Antonio as a case study25 Jun 2024
- 2024Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variables30 May 2024
- 2024Advancing Household Robotics: Deep Interactive Reinforcement Learning for Efficient Training and Enhanced Performance29 May 2024
- 2024Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization27 May 2024
- 2024When LLMs Meet Cybersecurity: A Systematic Literature Review6 May 2024
- 2024Large Language Models for UAVs: Current State and Pathways to the Future2 May 2024
- 2024Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches19 Apr 2024
- 2024Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices1 Apr 2024
12 newest of 13 All 13 (JSON)