Self-reported archetypes and behavioral failures in Large Language Models
Summary
This paper investigates self-reported archetypes and behavioral failures in Large Language Models, exploring how LLMs perceive human archetypes and where they exhibit behavioral shortcomings.
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# Untitled Document Source: [https://arxiv.org/html/2609.15998](https://arxiv.org/html/2609.15998) \\DocumentMetadata uncompress\\setbooleantwocolswitchtrue ###### Contents 1. [References](https://arxiv.org/html/2609.15998#bib) 2. [AAppendices](https://arxiv.org/html/2609.15998#A1) ## References - \[1\]H\. Zhao, Z\. Liu, Z\. Wu, Y\. Li, T\. Yang, P\. Shu, S\. Xu, H\. Dai, L\. Zhao, G\. Mai, N\. Liu, and T\. Liu\.Revolutionizing finance with LLMs: An overview of applications and insights\.ArXiv, abs/2401\.11641, 2024\. - \[2\]X\. Meng, X\. Yan, K\. Zhang, D\. Liu, X\. Cui, Y\. Yang, M\. Zhang, C\. Cao, J\. Wang, X\. Wang, J\. Gao, Y\. Wang, J\. Ji, Z\. Qiu, M\. Li, C\. Qian, T\. Guo, S\. Ma, Z\. Wang, Z\. Guo, Y\.\-L\. Lei, C\. Shao, W\. yao Wang, H\. Fan, and Y\. Tang\.The application of large language models in medicine: A scoping review\.iScience, 27, 2024\. - \[3\]T\. T\. Prama and M\. S\. 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