Summary of Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts, by Naseela Pervez et al.
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts
by Naseela Pervez, Alexander J. Titus
First submitted to arxiv on: 27 Jun 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 study evaluates the alignment of three prominent large language models (LLMs) – Claude 3 Opus, Mistral AI Large, and Gemini 1.5 Flash – with human narrative styles and potential gender biases. The researchers analyzed the performance of these LLMs on benchmark text-generation tasks for scientific abstracts using the Linguistic Inquiry and Word Count (LIWC) framework to extract lexical, psychological, and social features from the generated texts. The findings indicate that while the models generally produce text resembling human-authored content, variations in stylistic features suggest significant gender biases. This research emphasizes the need for developing LLMs that maintain a diversity of writing styles to promote inclusivity in academic discourse. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models are helping scientists write better articles. But do they have biases? Some studies found that these models can be unfair or stereotypical. In this study, we looked at three popular models and how well they do on tasks like writing scientific abstracts. We used a special tool to analyze the words and ideas in the texts they generated. Our results show that while the models are good at writing like humans, there are still problems with gender biases. This is important because it means we need to create models that can write in different styles and be more fair. |
Keywords
» Artificial intelligence » Alignment » Claude » Discourse » Gemini » Text generation
