Reducing Bias in English and Urdu Language Models with PRM-Guided Refinement

This research addresses a critical concern in AI: mitigating social bias in language models. The methodology, using PRM-guided candidate selection and sequential refinement, suggests a promising approach for improving fairness.

• •The research proposes a method to reduce social bias in language models.
• •The approach involves PRM-guided candidate selection and sequential refinement.
• •The study focuses on both English and Urdu language models.