| Autor: |
Dunnell, Kevin, Painter, Trudy, Stoddard, Andrew, Lippman, Andy |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Conference on Computational Creativity, 2023, 417-421 |
| Druh dokumentu: |
Working Paper |
| Popis: |
This paper investigates the potential of AI models, particularly large language models (LLMs), to support knowledge exploration and augment human creativity during ideation. We present "Latent Lab" an interactive tool for discovering connections among MIT Media Lab research projects, emphasizing "exploration" over search. The work offers insights into collaborative AI systems by addressing the challenges of organizing, searching, and synthesizing content. In a user study, the tool's success was evaluated based on its ability to introduce users to an unfamiliar knowledge base, ultimately setting the groundwork for the ongoing advancement of human-AI knowledge exploration systems. |
| Databáze: |
arXiv |
| Externí odkaz: |
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