Papers with MBTI
Can ChatGPT Assess Human Personalities? A General Evaluation Framework (2023.findings-emnlp)
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| Challenge: | Existing studies study the virtual personalities of LLMs but rarely explore the possibility of analyzing human personalities via LLM. |
| Approach: | They propose to use Myers–Briggs Type Indicator (MBTI) tests to generate unbiased prompts and replace the subject in question statements to enable flexible queries and assessments. |
| Outcome: | The proposed framework enables LLMs to flexibly assess personalities of different groups of people. |
PsyAttention: Psychological Attention Model for Personality Detection (2023.findings-emnlp)
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| Challenge: | Personality detection has incorporated psychological features from different personality models, such as the BigFive and MBTI. |
| Approach: | They propose to use psychological models to encode personality features to reduce their number by 85%. |
| Outcome: | The proposed model outperforms state-of-the-art methods on the BigFive and MBTI models and achieves average accuracy of 65.66% and 86.30%, respectively. |
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits (2025.coling-main)
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Bohan Li, Jiannan Guan, Longxu Dou, Yunlong Feng, Dingzirui Wang, Yang Xu, Enbo Wang, Qiguang Chen, Bichen Wang, Xiao Xu, Yimeng Zhang, Libo Qin, Yanyan Zhao, Qingfu Zhu, Wanxiang Che
| Challenge: | Existing data on MBTI personality detection are based on self-reported labels and fail to capture the full range of population personality traits. |
| Approach: | They construct a manually annotated MBTI personality detection dataset with soft labels under the guidance of psychologists and use them to identify the task. |
| Outcome: | The MBTIBench is the first manually annotated MBti personality detection dataset with soft labels under the guidance of psychologists. |
MBTI Personality Prediction for Fictional Characters Using Movie Scripts (2022.findings-emnlp)
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| Challenge: | Existing NLP models cannot predict character's personality types based on text classifications . character comprehension is the cornerstone of understanding stories in psychology and education. |
| Approach: | They propose a benchmark to predict movie character's MBTI or Big 5 personality types based on the narratives of the character. |
| Outcome: | The proposed model outperforms existing models in the task and is more accurate than random guesses. |
Persona-E²: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events (2026.acl-long)
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Yuqin Yang, Haowu Zhou, Haoran Tu, Zhiwen Hui, Shiqi Yan, HaoYang Li, Dong She, Xianrong Yao, Yang Gao, Zhanpeng Jin
| Challenge: | A critical bottleneck is the lack of ground-truth human data to link personality traits to emotional shifts. |
| Approach: | They propose a large-scale dataset to capture reader-based emotional variations across news, social media, and life narratives. |
| Outcome: | The proposed model captures reader-based emotional variations across news, social media, and life narratives. |
GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing (2026.acl-long)
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Ming Wang, Shuang Wu, Bixuan Wang, Lu Lin, Yuxin Chen, Xiaocui Yang, Daling Wang, Shi Feng, Yifei Zhang, Yufan Sun
| Challenge: | Large language models (LLMs) inherit contamination from training corpora, directional bias under social-desirability framing, and limited responsiveness to context beyond the item text. |
| Approach: | They propose a paradigm that reformulates TAT, Rorschach, and SCT with newly generated stimuli and organises assessment as a three-stage pipeline. |
| Outcome: | The proposed paradigm reformulates TAT, Rorschach, and SCT with newly generated stimuli and organises assessment as a three-stage pipeline. |