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On the Diversity of Analogy Making in Large Language Models

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Large Language Models (LLMs) have demonstrated remarkable potential for analogy making, a core cognitive capability that drives novelty and creativity. While prior research has extensively investigated the applications and underlying mechanisms of LLM-based analogy making, its output diversity remains largely unexplored, despite being essential for broadening cross-domain connections and fostering scientific innovation.

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arXiv AI
Jun 26

Metaphors are a Source of Cross-Domain Misalignment of Large Reasoning Models

arXiv:2601. 03388v3 Announce Type: replace-cross Abstract: Earlier research has shown that metaphors influence human decision-making, raising the question of whether metaphors also influence large language models (LLMs)' reasoning pathways, given that their training data contain a large number of metaphors.

By Zhibo Hu, Chen Wang, Yanfeng Shu, Hye-young Paik, Liming Zhu