Summary of Your Large Language Model Is Secretly a Fairness Proponent and You Should Prompt It Like One, by Tianlin Li et al.
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One
by Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu
First submitted to arxiv on: 19 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 prevalent, ensuring their fairness becomes a pressing concern. Current models often amplify dominant viewpoints while neglecting minority perspectives, leading to potential biases. We propose that these biases arise from LLMs’ human-like personalities reflecting the majority of training data. To address this, we explore prompting LLMs with specific roles to enable diverse viewpoint expression. Building on these findings, we introduce FairThinking, a pipeline generating roles for fair expressions. Evaluating FairThinking on GPT-3.5, GPT-4, Llama2, and Mistral using a thousand-item dataset covering fairness-related topics demonstrates its superiority. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models are great tools, but they can also have biases. This means they might show one side of the story more than others. We want to fix this by making sure these models are fair. To do that, we need to understand why they’re being biased in the first place. Our research shows that these biases come from the way these models are trained. We think that if we prompt them with different roles or perspectives, they’ll be able to show a more balanced view of things. To test this idea, we created a special tool called FairThinking and used it on some popular language models. |
Keywords
» Artificial intelligence » Gpt » Prompt » Prompting
