Probing the “Creativity” of Large Language Models: Can models produce divergent semantic association?
Honghua Chen,
Nai Ding
Abstract:Large language models possess remarkable capacity for processing language, but it remains unclear whether these models can further generate creative content. The present study aims to investigate the creative thinking of large language models through a cognitive perspective. We utilize the divergent association task (DAT), an objective measurement of creativity that asks models to generate unrelated words and calculates the semantic distance between them. We compare the results across different models and deco… Show more
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