The modern development of artificial intelligence has led to the active use of large language models (LLM) in various fields of scientific and professional knowledge. LLM is based on the principles of deep machine learning using a large amount of data and parameters to solve natural language tasks. As part of our research on the use of large language models in scientific papers, we conducted a theoretical and analytical study based on the materials of leading scientific journals in psychology in articles published since 2023. Two trends in research were identified. In domestic works, the LLM model was used to develop expert systems for categorizing socio-psychological phenomena. In foreign works, the use of psychodiagnostic methods for assessing the "abilities" of large language models and constructing reasoning is actively presented. In LLM construction systems, they often rely on psychological theories focused on the construction of everyday knowledge, socially conditioned interactions, and systems of attributive processes. Currently, there is a significant expansion of work in the humanities using LLMs, which provides an opportunity for the development of new areas within cognitive sciences and expands the possibilities for implementation in robotics, but also presents many challenges, particularly in assessing the quality of reasoning and the reliability of the acquired knowledge.
DOI: 10.38098/nsom_2025_05_03_06
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Chuganskaya, A. A. (2025). Large Language Models as a Tool of Psycho-Anthropological Researches // Natural Systems of Mind, 5(3), 59–62.