从创造力视角看大型语言模型幻觉的综述
A Survey on Large Language Model Hallucination via a Creativity Perspective
AI总结：
本综述从创造力视角探讨大型语言模型幻觉的潜在价值，系统回顾了其分类、负面影响及在发散与收敛思维框架下转化为创造力的方法，并指明了未来研究方向。
摘要：
大型语言模型（LLM）中的幻觉一直被视为局限性。然而，它们是否也能成为创造力的源泉？本综述探讨了这一可能性，提出幻觉可能通过促进创造力为 LLM 应用做出贡献。综述首先回顾了幻觉的分类法及其在关键应用中对 LLM 可靠性的负面影响。接着，通过历史案例和近期相关理论，探讨了 LLM 中幻觉的潜在创造性益处。为阐明这种联系的价值和评估标准，我们深入探讨了创造力的定义和评估方法。遵循发散和收敛思维阶段的框架，本综述系统回顾了在 LLM 中转化和利用幻觉以实现创造力的相关文献。最后，讨论了未来研究方向，强调需进一步探索和优化幻觉在 LLM 创造性过程中的应用。
英文摘要：
Hallucinations in large language models (LLMs) are always seen as limitations. However, could they also be a source of creativity? This survey explores this possibility, suggesting that hallucinations may contribute to LLM application by fostering creativity. This survey begins with a review of the taxonomy of hallucinations and their negative impact on LLM reliability in critical applications. Then, through historical examples and recent relevant theories, the survey explores the potential creative benefits of hallucinations in LLMs. To elucidate the value and evaluation criteria of this connection, we delve into the definitions and assessment methods of creativity. Following the framework of divergent and convergent thinking phases, the survey systematically reviews the literature on transforming and harnessing hallucinations for creativity in LLMs. Finally, the survey discusses future research directions, emphasizing the need to further explore and refine the application of hallucinations in creative processes within LLMs.
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