mlsanityData to 7 Oct 2026

When Brain-inspired AI Meets AGI

arXiv 2303.15935 ↗First posted 28 Mar 2023cs.AIcited by 54

Not on the map. Why?

Abstract (arXiv)

Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. To achieve this, AGI researchers draw inspiration from the human brain and seek to replicate its principles in intelligent machines. Brain-inspired artificial intelligence is a field that has emerged from this endeavor, combining insights from neuroscience, psychology, and computer science to develop more efficient and powerful AI systems. In this article, we provide a comprehensive overview of brain-inspired AI from the perspective of AGI. We begin with the current progress in brain-inspired AI and its extensive connection with AGI. We then cover the important characteristics for both human intelligence and AGI (e.g., scaling, multimodality, and reasoning). We discuss important technologies toward achieving AGI in current AI systems, such as in-context learning and prompt tuning. We also investigate the evolution of AGI systems from both algorithmic and infrastructural perspectives. Finally, we explore the limitations and future of AGI.

Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). Builds on 53 of its 130 references that are in the map. First posted on arXiv 28 Mar 2023.

Builds on

53 of 130 references.

References · 53

  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. 2020Language Models are Few-Shot Learnerscited by 32,199
  5. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  6. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  7. 2022Training language models to follow instructions with human feedbackcited by 15,712
  8. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  9. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  10. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  11. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
  12. 2021Zero-Shot Text-to-Image Generationcited by 4,276
38 more
  1. 2017Deep reinforcement learning from human preferencescited by 3,846
  2. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  3. 2022Scaling Instruction-Finetuned Language Modelscited by 2,997
  4. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  5. 2015VQA: Visual Question Answeringcited by 2,489
  6. 2022Emergent Abilities of Large Language Modelscited by 2,483
  7. 2022Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Themcited by 1,767
  8. 2021Multitask Prompted Training Enables Zero-Shot Task Generalizationcited by 1,462
  9. 2021MLP-Mixer: An all-MLP Architecture for Visioncited by 1,441
  10. 2022Least-to-Most Prompting Enables Complex Reasoning in Large Language Modelscited by 1,397
  11. 2022SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Modelscited by 1,338
  12. 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuningcited by 734
  13. 2022Automatic Chain of Thought Prompting in Large Language Modelscited by 684
  14. 2023Language Is Not All You Need: Aligning Perception with Language Modelscited by 543
  15. 2022Improving alignment of dialogue agents via targeted human judgementscited by 527
  16. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 486
  17. 2021Less is More: ClipBERT for Video-and-Language Learning via Sparse Samplingcited by 484
  18. 2021VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Expertscited by 424
  19. 2021An Empirical Study of Training End-to-End Vision-and-Language Transformerscited by 271
  20. 2021UniT: Multimodal Multitask Learning with a Unified Transformercited by 195
  21. 2021VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioningcited by 190
  22. 2021VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modelingcited by 187
  23. 2021SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioningcited by 161
  24. 2023DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4cited by 128
  25. 2023ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Modelscited by 116
  26. 2019Exploring Randomly Wired Neural Networks for Image Recognitioncited by 103
  27. 2021Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoderscited by 88
  28. 2020Graph Structure of Neural Networkscited by 67
  29. 2019Learning to Few-Shot Learn Across Diverse Natural Language Classification Taskscited by 57
  30. 2023Context Matters: A Strategy to Pre-train Language Model for Science Educationcited by 32
  31. 2023Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learningcited by 26
  32. 2023Mask-guided BERT for Few Shot Text Classificationcited by 25
  33. 2022Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Trainingcited by 20
  34. 2016Small-World Brain Networks Revisitedcited by 16
  35. 2022LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processorcited by 10
  36. 2023Coupling Artificial Neurons in BERT and Biological Neurons in the Human Braincited by 9
  37. 2022A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformerscited by 7
  38. 2023Core-Periphery Principle Guided Redesign of Self-Attention in Transformerscited by 7

50 most cited of 53 All 53 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 28; 2024: 19; 2025: 4; 2026: 3.

54 papers.

Sort:

By area:

  1. 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
  2. 2024Large Language Models for Robotics: Opportunities, Challenges, and Perspectivescited by 88
  3. 2024Revolutionizing Finance with LLMs: An Overview of Applications and Insightscited by 88
  4. 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
  5. 2024Understanding LLMs: A Comprehensive Overview from Training to Inferencecited by 58
  6. 2023An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPTcited by 57
  7. 2023Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physicscited by 49
  8. 2023Radiology-GPT: A Large Language Model for Radiologycited by 44
  9. 2023Radiology-Llama2: Best-in-Class Large Language Model for Radiologycited by 42
  10. 2023SAMAug: Point Prompt Augmentation for Segment Anything Modelcited by 38
  11. 2025The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMscited by 35
  12. 2023AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiologycited by 34
38 more
  1. 2023Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Taskcited by 32
  2. 2023Artificial General Intelligence for Medical Imaging Analysiscited by 32
  3. 2024Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Braincited by 32
  4. 2024Visual Fourier Prompt Tuningcited by 30
  5. 2023Differentiate ChatGPT-generated and Human-written Medical Textscited by 26
  6. 2024Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Researchcited by 26
  7. 2023Segment Anything Model (SAM) for Radiation Oncologycited by 24
  8. 2023Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applicationscited by 21
  9. 2023Multimodality of AI for Education: Towards Artificial General Intelligencecited by 21
  10. 2023CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Studycited by 19
  11. 2024Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theorycited by 19
  12. 2023RadOnc-GPT: A Large Language Model for Radiation Oncologycited by 18
  13. 2023PolicyGPT: Automated Analysis of Privacy Policies with Large Language Modelscited by 16
  14. 2024Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understandingcited by 15
  15. 2023Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViTcited by 14
  16. 2023Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challengescited by 14
  17. 2023ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Datacited by 14
  18. 2025Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challengescited by 14
  19. 2023Evaluating Large Language Models for Radiology Natural Language Processingcited by 12
  20. 2024Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translationcited by 12
  21. 2024GP-GPT: Large Language Model for Gene-Phenotype Mappingcited by 10
  22. 2023AGI for Agriculturecited by 9
  23. 2023Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanitiescited by 9
  24. 2024LLMs for Coding and Robotics Educationcited by 9
  25. 2023AGI: Artificial General Intelligence for Educationcited by 7
  26. 2023Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classificationcited by 5
  27. 2023Evaluating multiple large language models in pediatric ophthalmologycited by 4
  28. 2023PharmacyGPT: The AI Pharmacistcited by 3
  29. 2024Unleashing Artificial Cognition: Integrating Multiple AI Systemscited by 3
  30. 2024Brain-like Functional Organization within Large Language Modelscited by 3
  31. 2025Large Language Models for Bioinformaticscited by 3
  32. 2024The Radiation Oncology NLP Databasecited by 2
  33. 2024Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligencecited by 2
  34. 2024LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Modelscited by 2
  35. 2025Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncologycited by 2
  36. 2023Advancing Perception in Artificial Intelligence through Principles of Cognitive Sciencecited by 1
  37. 2024Artificial Human Intelligence: The role of Humans in the Development of Next Generation AIcited by 1
  38. 2026An Alternative Trajectory for Generative AIcited by 1

50 most cited of 54 All 54 (JSON)