mlsanityData to 7 Oct 2026

ChatGPT is not all you need. A State of the Art Review of large Generative AI models

arXiv 2301.04655 ↗First posted 11 Jan 2023cs.LG cs.AIcited by 85

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

  1. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding23 May

Other references · 27

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  4. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  5. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,337
  6. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  7. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  8. 2022Competition-Level Code Generation with AlphaCodecited by 1,427
  9. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
  10. 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
  11. 2021Variational Diffusion Modelscited by 1,145
  12. 2022Human Motion Diffusion Modelcited by 1,062
15 more
  1. 2022A Generalist Agentcited by 802
  2. 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 640
  3. 2022AudioLM: a Language Modeling Approach to Audio Generationcited by 611
  4. 2017Generative Adversarial Networks: An Overviewcited by 588
  5. 2020Jukebox: A Generative Model for Musiccited by 535
  6. 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 475
  7. 2021A Survey of Transformerscited by 399
  8. 2021VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioningcited by 190
  9. 2019Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systemscited by 110
  10. 2022ChatGPT: The End of Online Exam Integrity?cited by 88
  11. 2022PEER: A Collaborative Language Modelcited by 86
  12. 2020Artificial Intelligence in the Creative Industries: A Reviewcited by 61
  13. 2022Discovering the Hidden Vocabulary of DALLE-2cited by 42
  14. 2022Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPTcited by 27
  15. 2021Soundify: Matching Sound Effects to Videocited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 46; 2024: 30; 2025: 6; 2026: 3.

85 papers.

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  1. 2024Grounded SAM: Assembling Open-World Models for Diverse Visual Taskscited by 914
  2. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
  3. 2023Self-Consuming Generative Models Go MADcited by 239
  4. 2023On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspectivecited by 208
  5. 2023From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inferencecited by 168
  6. 2024Mobile Edge Intelligence for Large Language Models: A Contemporary Surveycited by 125
  7. 2024A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systemscited by 74
  8. 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
  9. 2024Determinants of LLM-assisted Decision-Makingcited by 55
  10. 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?cited by 54
  11. 2023Towards Understanding the Interplay of Generative Artificial Intelligence and the Internetcited by 54
  12. 2024WIPI: A New Web Threat for LLM-Driven Web Agentscited by 50
38 more
  1. 2023Learning gain differences between ChatGPT and human tutor generated algebra hintscited by 42
  2. 2023Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?cited by 41
  3. 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 34
  4. 2024Large Language Models for Manufacturingcited by 24
  5. 2023Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaversescited by 22
  6. 2023ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspectivecited by 22
  7. 2024Explainable Generative AI (GenXAI): A Survey, Conceptualization, and Research Agendacited by 22
  8. 2023On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensionscited by 21
  9. 2024CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technologycited by 21
  10. 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
  11. 2023How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Studycited by 16
  12. 2023ChatGPT is a Remarkable Tool -- For Expertscited by 16
  13. 2023Quantifying Bias in Text-to-Image Generative Modelscited by 16
  14. 2025Enhancing Intent Understanding for Ambiguous prompt: A Human-Machine Co-Adaption Strategycited by 16
  15. 2023Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language modelcited by 14
  16. 2023ChatGPT Hallucinates when Attributing Answerscited by 14
  17. 2023MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systemscited by 14
  18. 2025Generative Models in Decision Making: A Surveycited by 14
  19. 2024Near to Mid-term Risks and Opportunities of Open-Source Generative AIcited by 13
  20. 2023Analysis of ChatGPT on Source Codecited by 12
  21. 2024Blessing or curse? A survey on the Impact of Generative AI on Fake Newscited by 11
  22. 2024Risks and Opportunities of Open-Source Generative AIcited by 11
  23. 2025Twin Co-Adaptive Dialogue for Progressive Image Generationcited by 11
  24. 2023ChatGPT in the Age of Generative AI and Large Language Models: A Concise Surveycited by 10
  25. 2023An Overview on Generative AI at Scale with Edge-Cloud Computingcited by 9
  26. 2024Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Surveycited by 9
  27. 2024QUEEN: Query Unlearning against Model Extractioncited by 9
  28. 2023Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Modelscited by 8
  29. 2023Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and Resourcescited by 8
  30. 2023Can Large Language Models assist in Hazard Analysis?cited by 8
  31. 2023Vision + Language Applications: A Surveycited by 8
  32. 2023Generative AI in the Construction Industry: Opportunities & Challengescited by 8
  33. 2023A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainabilitycited by 7
  34. 2023A Glimpse in ChatGPT Capabilities and its impact for AI researchcited by 6
  35. 2023Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisationcited by 6
  36. 2023From paintbrush to pixel: A review of deep neural networks in AI-generated artcited by 5
  37. 2023The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Erniecited by 5
  38. 2023Exploring the Limits of ChatGPT in Software Security Applicationscited by 5

50 most cited of 85 All 85 (JSON)

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  1. 2023Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
  2. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
  3. 2023Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
  4. 2024ChatGPT Alternative Solutions: Large Language Models Survey
  5. 2024GPTDrawer: Enhancing Visual Synthesis through ChatGPT
  6. 2023An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications
  7. 2023Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models
  8. 2023RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model