ChatGPT is not all you need. A State of the Art Review of large Generative AI models
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
During the last two years there has been a plethora of large generative models such as ChatGPT or Stable Diffusion that have been published. Concretely, these models are able to perform tasks such as being a general question and answering system or automatically creating artistic images that are revolutionizing several sectors. Consequently, the implications that these generative models have in the industry and society are enormous, as several job positions may be transformed. For example, Generative AI is capable of transforming effectively and creatively texts to images, like the DALLE-2 model; text to 3D images, like the Dreamfusion model; images to text, like the Flamingo model; texts to video, like the Phenaki model; texts to audio, like the AudioLM model; texts to other texts, like ChatGPT; texts to code, like the Codex model; texts to scientific texts, like the Galactica model or even create algorithms like AlphaTensor. This work consists on an attempt to describe in a concise way the main models are sectors that are affected by generative AI and to provide a taxonomy of the main generative models published recently.
Key facts. Cited by 85 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 28 of its 35 references that are in the map. First posted on arXiv 11 Jan 2023.
Builds on
28 of 35 references.
Closest ancestors · 1
Same direction, newest first
Other references · 27
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2021Evaluating Large Language Models Trained on Codecited by 8,053
- 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,337
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
- 2022Competition-Level Code Generation with AlphaCodecited by 1,427
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
- 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
- 2021Variational Diffusion Modelscited by 1,145
- 2022Human Motion Diffusion Modelcited by 1,062
15 more
- 2022A Generalist Agentcited by 802
- 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 640
- 2022AudioLM: a Language Modeling Approach to Audio Generationcited by 611
- 2017Generative Adversarial Networks: An Overviewcited by 588
- 2020Jukebox: A Generative Model for Musiccited by 535
- 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 475
- 2021A Survey of Transformerscited by 399
- 2021VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioningcited by 190
- 2019Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systemscited by 110
- 2022ChatGPT: The End of Online Exam Integrity?cited by 88
- 2022PEER: A Collaborative Language Modelcited by 86
- 2020Artificial Intelligence in the Creative Industries: A Reviewcited by 61
- 2022Discovering the Hidden Vocabulary of DALLE-2cited by 42
- 2022Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPTcited by 27
- 2021Soundify: Matching Sound Effects to Videocited by 6
Built on by
Citing papers per year: 2023: 46; 2024: 30; 2025: 6; 2026: 3.
85 papers.
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- 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?cited by 54
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50 most cited of 85 All 85 (JSON)
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- 2025Enhancing Intent Understanding for Ambiguous prompt: A Human-Machine Co-Adaption Strategy25 Jan 2025
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- 2024Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI24 Sep 2024
- 2024AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention13 Sep 2024
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- 2024The Battle of LLMs: A Comparative Study in Conversational QA Tasks28 May 2024
- 2024A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence24 May 2024
- 2024Qualitative and quantitative analysis of student's perceptions in the use of generative AI in educational environments22 May 2024
- 2024Risks and Opportunities of Open-Source Generative AI14 May 2024
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- 2024Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agenda15 Apr 2024
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- 2024Blessing or curse? A survey on the Impact of Generative AI on Fake News3 Apr 2024
- 2024Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI31 Mar 2024
- 2024The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment- A Preprint15 Mar 2024
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- 2024A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems28 Feb 2024
- 2024Determinants of LLM-assisted Decision-Making27 Feb 2024
- 2024WIPI: A New Web Threat for LLM-Driven Web Agents26 Feb 2024
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Review13 Feb 2024
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- 2024CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology2 Feb 2024
- 2024Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks25 Jan 2024
- 2023Quantifying Bias in Text-to-Image Generative Models20 Dec 2023
- 2023Exploring the Limits of ChatGPT in Software Security Applications8 Dec 2023
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- 2023On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions7 Nov 2023
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- 2023On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspectivecited by 208
- 2023From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inferencecited by 168
- 2024Mobile Edge Intelligence for Large Language Models: A Contemporary Surveycited by 125
- 2024A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systemscited by 74
- 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
- 2024Determinants of LLM-assisted Decision-Makingcited by 55
- 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?cited by 54
- 2023Towards Understanding the Interplay of Generative Artificial Intelligence and the Internetcited by 54
- 2023Learning gain differences between ChatGPT and human tutor generated algebra hintscited by 42
- 2023Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?cited by 41
- 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 34
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- 2026Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing18 Jan 2026
- 2025Detoxify: A framework for abusive text transformation using LLMs14 Jul 2025
- 2025Twin Co-Adaptive Dialogue for Progressive Image Generation21 Apr 2025
- 2025TDRI: Two-Phase Dialogue Refinement and Co-Adaptation for Interactive Image Generation22 Mar 2025
- 2025Generative Models in Decision Making: A Survey24 Feb 2025
- 2025Position: Beyond Assistance -- Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care21 Feb 2025
- 2025Enhancing Intent Understanding for Ambiguous prompt: A Human-Machine Co-Adaption Strategy25 Jan 2025
- 2024Large Language Models for Manufacturing28 Oct 2024
- 2024Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI24 Sep 2024
- 2024AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention13 Sep 2024
- 2024Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes10 Sep 2024
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