Summary of Identifying Multiple Personalities in Large Language Models with External Evaluation, by Xiaoyang Song et al.
Identifying Multiple Personalities in Large Language Models with External Evaluation
by Xiaoyang Song, Yuta Adachi, Jessie Feng, Mouwei Lin, Linhao Yu, Frank Li, Akshat Gupta, Gopala Anumanchipalli, Simerjot Kaur
First submitted to arxiv on: 22 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary As Large Language Models (LLMs) become increasingly integrated into daily life, concerns about their behavior and personalities are growing. Researchers have typically used self-assessment tests created for humans to quantify LLM personalities, but this approach has been questioned due to its limitations. This study proposes an alternative method, the external evaluation method, which analyzes LLM responses to open-ended situational questions using a machine learning model. A fine-tuned Llama2-7B model was used as the MBTI personality predictor, outperforming state-of-the-art models. The study found that when prompting LLMs with situational questions and analyzing their generated Twitter posts and comments, the obtained personality types differed significantly between the two scenarios, whereas humans showed consistent profiles. This highlights a fundamental difference in personality between LLMs and humans, calling for a re-evaluation of personality definition and measurement in LLMs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models are becoming super smart and are being used all around us. But have you ever wondered what makes them tick? Are they friendly or mean? This study looked at how we can figure out what kind of personalities these AI models have. They tried a new way to do it, instead of asking the AI questions like humans do, they asked it to write Twitter posts and comments about different situations. What they found was surprising – the AI’s personality changed depending on what it was doing! This is different from how humans are, so it makes us think about what personality really means. |
Keywords
» Artificial intelligence » Machine learning » Prompting
