Debiasing Large Language Models toward Social Factors in Online Behavior Analytics through Prompt Knowledge Tuning

1. 1Identify social biases in large language models
2. 2Apply prompt knowledge tuning to debias models
3. 3Evaluate model performance on social attribution tasks
4. 4Refine models for improved accuracy and fairness

AI engineers and researchers benefit from this knowledge as it helps them develop more accurate and unbiased language models, while data scientists and analysts can apply these models to better understand online behavior

💡 Prompt knowledge tuning can reduce social biases in large language models

🤖 Debiasing LLMs for social factors in online behavior analytics