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The field of large language models (LLMs) has made significant progress, andtheir knowledge storage capacity is approaching that of human beings.Furthermore, advanced techniques, such as prompt learning and reinforcementlearning, are being employed to address ethical concerns and hallucinationproblems associated with LLMs, bringing them closer to aligning with humanvalues. This situation naturally raises the question of whether LLMs withhuman-like abilities possess a human-like personality? In this paper, we aim toinvestigate the feasibility of using the Myers-Briggs Type Indicator (MBTI), awidespread human personality assessment tool, as an evaluation metric for LLMs.Specifically, extensive experiments will be conducted to explore: 1) thepersonality types of different LLMs, 2) the possibility of changing thepersonality types by prompt engineering, and 3) How does the training datasetaffect the model's personality. Although the MBTI is not a rigorous assessment,it can still reflect the similarity between LLMs and human personality. Inpractice, the MBTI has the potential to serve as a rough indicator. Our codesare available athttps://github.com/HarderThenHarder/transformers_tasks/tree/main/LLM/llms_mbti.

Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models