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Cross-domain mapping boosts human creativity, LLMs show mixed results

By PulseAugur Editorial · [1 sources] ·

A new research paper explores the impact of cross-domain mapping on creativity in both humans and large language models (LLMs). The study found that humans consistently benefit from drawing inspiration from unrelated source domains, while LLMs, on average, produce more original ideas and do not show a significant effect from this intervention. However, both humans and LLMs showed increased creativity when the inspiration source was semantically distant, with the most capable LLMs benefiting from cross-domain mapping above a certain distance threshold. The research also highlighted differences in how humans and LLMs utilize source concepts, with humans transferring surface features and LLMs transferring structural and functional properties. AI

IMPACT Investigates how LLMs approach creativity and how interventions affect their output, offering insights into AI's creative potential.

RANK_REASON Academic paper on AI capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Cross-domain mapping boosts human creativity, LLMs show mixed results

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Academic paper on AI capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qiawen Ella Liu, Marina Dubova, Henry Conklin, Takumi Harada, Thomas L. Griffiths ·

    Assessing the Effect of Cross-Domain Mapping on Creativity in Humans and Large Language Models

    arXiv:2603.19087v2 Announce Type: replace Abstract: Creativity is the ability to come up with novel ideas, a capacity crucial for human development and flourishing. Are large language models (LLMs) creative in the same way humans are, and can the same interventions increase creat…

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