A Survey on Large Language Model Hallucination via a Creativity Perspective
CoRR(2024)
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.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要