Summary of Humanity in Ai: Detecting the Personality Of Large Language Models, by Baohua Zhan et al.
Humanity in AI: Detecting the Personality of Large Language Models
by Baohua Zhan, Yongyi Huang, Wenyao Cui, Huaping Zhang, Jianyun Shang
First submitted to arxiv on: 11 Oct 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 This paper proposes a novel approach to detecting the personality traits of Large Language Models (LLMs) by combining text mining with questionnaires. The traditional questionnaire method is prone to hallucinations and order sensitivity issues. The proposed approach uses text mining to extract psychological features from LLM responses, unaffected by option order or hallucinations. The experiment results demonstrate the effectiveness of this combined method. The study also investigates the origins of personality traits in LLMs, comparing pre-trained language models (PLMs) like BERT and GPT with conversational models (ChatLLMs) such as ChatGPT. Notably, ChatGPT exhibits conscientiousness personality traits, while PLMs’ personalities are derived from their training data. The paper also compares the results to human average personality scores, finding similarities between FLAN-T5 in PLMs and ChatGPT in ChatLLMs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study tries to figure out if large language models have personalities like humans do. Right now, we use questionnaires to test these models, but it’s tricky because they might give weird or irrelevant answers. To solve this problem, the researchers combined questionnaires with a new method that looks at what the models write, not just their answers. They found that some language models are more “conscientious” than others, and that these personalities come from the data used to train them. The study also compared these model personalities to those of humans, finding some similarities. |
Keywords
» Artificial intelligence » Bert » Gpt » T5
