mlsanityData to 7 Oct 2026

DesignGPT: Multi-Agent Collaboration in Design

arXiv 2311.11591 ↗First posted 20 Nov 2023cs.AI cs.HCcited by 16

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Abstract (arXiv)

Generative AI faces many challenges when entering the product design workflow, such as interface usability and interaction patterns. Therefore, based on design thinking and design process, we developed the DesignGPT multi-agent collaboration framework, which uses artificial intelligence agents to simulate the roles of different positions in the design company and allows human designers to collaborate with them in natural language. Experimental results show that compared with separate AI tools, DesignGPT improves the performance of designers, highlighting the potential of applying multi-agent systems that integrate design domain knowledge to product scheme design.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 5 of its 19 references that are in the map. First posted on arXiv 20 Nov 2023.

Builds on

5 of 19 references.

References · 5

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,310
  3. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  4. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  5. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 10; 2026: 1.

16 papers.

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  1. 2023Experiential Co-Learning of Software-Developing Agentscited by 57
  2. 2025Creativity in LLM-based Multi-Agent Systems: A Surveycited by 23
  3. 2024A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challengescited by 22
  4. 2024Iterative Experience Refinement of Software-Developing Agentscited by 16
  5. 2024ING-VP: MLLMs cannot Play Easy Vision-based Games Yetcited by 10
  6. 2025A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyondcited by 6
  7. 2025Toward Autonomous Engineering Design: A Knowledge-Guided Multi-Agent Frameworkcited by 5
  8. 2025Cross-Task Experiential Learning on LLM-based Multi-Agent Collaborationcited by 4
  9. 2025Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systemscited by 4
  10. 2025JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General Audiencecited by 3
  11. 2025Co-Saving: Resource Aware Multi-Agent Collaboration for Software Developmentcited by 3
  12. 2025From Fragment to One Piece: A Survey on AI-Driven Graphic Designcited by 2
4 more
  1. 2024An Artificial Intelligence Approach for Interpreting Creative Combinational Designscited by 0
  2. 2025When Discourse Stalls: Moving Past Five Semantic Stopsigns about Generative AI in Design Researchcited by 0
  3. 2025Argus: A Multi-Agent Sensitive Information Leakage Detection Framework Based on Hierarchical Reference Relationshipscited by 0
  4. 2026Agentic Risk-Aware Set-Based Engineering Designcited by 0